51 to 75 of 1,350 Machine Learning Jobs in the UK

Centre of Excellence - Remote - United Kingdom Role Overview: The Senior Manager will lead the development and deployment of cutting-edge machine learning (ML) and large language model (LLM) solutions. These solutions will leverage structured and unstructured data to automate workflows and revolutionize service delivery. The role aims to … the company into a technology-driven powerhouse by fostering innovation and driving business growth. Key Responsibilities: Develop and execute a comprehensive strategy for the ML and Data Science Center of Excellence, aligning with overall business objectives and tech enablement goals. Build and lead a high-performing, cross-functional team of … ML engineers, data scientists, and domain experts. Evaluate and select appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges. Collaborate with stakeholders (CTO, CEO, SVP of Legal Services, Product Management, Development teams) to integrate ML and LLM solutions into impactful projects. Ensure data security more »

serves clients in 20 countries across four continents and has 7,000 employees worldwide. Key responsibilities Develop and execute a comprehensive strategy for the ML and Data Science Center of Excellence, aligning with the company's overall business objectives and tech enablement goals. - Build and lead a high-performing, cross … functional team of ML engineers, data scientists, and domain experts, fostering a collaborative and innovative culture. - Evaluate and select the appropriate ML models, frameworks, and technologies (e.g., TensorFlow, PyTorch, Kafka) to address specific business challenges and drive automation across various service lines. - Collaborate closely with stakeholders, including the CTO, CEO … SVP of Legal Services, Product Management, and Development teams, to identify opportunities for ML and LLM integration and drive impactful projects. - Ensure data security, privacy, and compliance with relevant regulations (e.g., GDPR, EU AI legislation) by designing robust data governance frameworks and embedding ethical AI principles into all solutions. - Oversee more »

Leading ecommerce client now requires a Data Engineer to join their innovative Machine Learning team. This role will focus on increasing overall data efficiency using Machine Leaning, streamlining data processes to increase overall profitability, and ensuring our clients operations and customer teams … can increase overall value. They are searching for someone with strong exposure to Machine learning principles/practices and technologies such as ML flow/Sage Maker. The role: Develop robust and scalable data pipelines. Collaborate with cross-functional teams to develop and deploy Machine Learning models and algorithms to solve business challenges and create opportunities. Contribute to the development of our clients in-house Machine Learning operations framework. Support the data science and analytics team in deploying pipelines. Coach and mentor the team to improve development standards. Key requirements: Strong hands-on more »

Job DescriptionMachine Learning Engineer - Infrastructure | Research focused - LLM/AI Safety An opportunity to Join a Leading AI Innovation Team as a Machine Learning Infrastructure Engineer. We are working with a London-based start-up dedicated to engineering cutting-edge AI systems poised to revolutionize industries worldwide.The … Role:As a Machine Learning Infrastructure Engineer, you will play a crucial role in developing a robust framework for rapid training and experimentation of large language models. Please note that this role requires in-person presence in London, but this role offers visa sponsorship and relocation support. Candidates … availability LLM’s.Build and grow our engineering organisation, setting a high bar of excellence that propels us forward.Qualifications:We are seeking candidates with exceptional ML engineering evidenced by:Experience in creating and managing high-performance computing clusters across GPU/TPU, preferably in PyTorch.Proficiency in efficient serving of large machine more »

Machine Learning Engineer at Cerberus Capital Management As a machine learning engineer on our CTS team, you will contribute to the firm’s objectives by designing, implementing and deploying tools and solutions for a broad range of business objectives, such as asset pricing, demand forecasting, sentiment … analysis, and other machine-learning techniques for pattern recognition and statistical modeling. You may also participate in due diligence analyses of future investments, or evaluate 3rd party solutions and cloud-based tools for client adoption. Cerberus Capital Management (CCM) is a private equity firm with partial or full … closely together with clients to identify business opportunities and create new business value through improved data handling and analysis. Responsibilities: Build predictive models using machine-learning techniques that generate data-driven insights on modern data platforms (Spark, Hadoop and other map-reduce tools); Develop and productionalize containerized algos more »

Main duties of the job What we're looking for:o Expert knowledge and expertise in applying data science and advanced analytical techniques including machine learning, natural language processing, statistical and predictive modelling and emerging techniques such as generative AI.o Ability to lead the delivery of complex, high … a high performing Data Science & Advanced Analytics team including recruitment, mentorship and continued professional development. Sets clear goals and expectations, celebrates success and encourages learning through failure. Working collaboratively with a People Manager who will manage pastoral support. Promotes a culture of innovation, experimentation, idea generation and creativity within … Science & Advanced Analytics team. Leads on the development and implementation of data science and advanced techniques in response to business questions including exploratory analysis, machine learning, natural language processing, data linkage, statistical and predictive modelling, data visualisation and emerging techniques such as the application of generative AI. Expanding more »

ranging from sub-second latency functions to longer-running batch computer and higher-demand dedicated instances.Their models are a mixture of well-known classical ML systems and highly bespoke deep learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They … Plotly, Docker. Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight.KEY RESPONSIBILITIESLead the productionisation of Monolith’s ML models and data processing pipelines, both mid-low-level system and design and exemplary hands-on implementations using Spark and other tech stacksShape the ML … engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategyConcisely break down complex high-level ML requirements into smaller deliverables (epic à task)Proactively identify blockers across the team, help promptly and effectively to unblock themBring seniority and pragmatism to every line of code more »

from sub-second latency functions to longer-running batch computer and higher-demand dedicated instances. Their models are a mixture of well-known classical ML systems and highly bespoke deep learning models. They run on AWS and soon Azure, with plans to also add GCP and on-prem. They … Temporal; AWS Athena SQL, Athena & EMR Spark, ECS Fargate; Azure Synapse/Data Lake Analytics, HDInsight. KEY RESPONSIBILITIES Lead the productionisation of Monolith’s ML models and data processing pipelines, both mid-low-level system and design and exemplary hands-on implementations using Spark and other tech stacks Shape the … ML engineering culture and practices around model & data versioning, scalability, model benchmarking, ML-specific branching & release strategy Concisely break down complex high-level ML requirements into smaller deliverables (epic à task) Proactively identify blockers across the team, help promptly and effectively to unblock them Bring seniority and pragmatism to every more »

Senior NLP Machine Learning Engineer London office x1-2 days per week £80,000 to £95,000 Salary + Bonus & Benefits OVERVIEW A great opportunity for a Senior Machine Learning Engineer/Senior NLP Engineer with solid experience in fine-tuning Large Language Models to join … a strong FinTech scale-up with a high-calibre team in place. Your responsibilities as a Senior Machine Learning Engineer will include but not be limited to: Leverage Machine Learning/NLP techniques to build Large Language Models. Fine-tune Large Language models and optimise them … an AI led culture throughout the business YOUR SKILLS & EXPERIENCE Degree in a STEM subject Min. 4 years commercial experience in NLP/Transformers & ML Excellent experience with Deep Learning models Strong production ready coding skills in Python Strong experience in fine-tuning Large Language Models End-to-end more »

Job DescriptionMachine Learning Engineer£60,000 - £85,000in Central London – 2 days a weekFinTechLa Fosse is currently working with a fast-growing FinTech business which has become an industry leader within the funding and embedded finance industry, who are looking for a talented Senior Machine Learning Engineer … and ultimately drive the technical projects forward with a direct impact to the business.The ideal candidate must have experience with the full lifecycle of machine learning - the main requirements are listed below:Experience with Project Management.Experience in the fundamentals of programming, mathematics, and Machine Learning algorithms.Knowledge … of Machine Learning and Data Science frameworks and modular & modern OOP software design practices.Experience with a modern Machine Learning, Cloud & Data engineering technical stack.If you’re interested in this role and feel you fit some of the requirements, apply through the advert to find out more more »

Job DescriptionMachine Learning EngineerI am seeking an experienced Machine Learning Engineer with expertise in developing ML models for hardware processors, to join my client creating next-gen tech for ultra-fast and efficient AI acceleration. It’s all based on years of ground-breaking research and the … succesful Machine Learning Engineer will work in a multidisciplinary team to understand the hardware architecture and develop ML models, simulation tools and benchmarking frameworks accordingly. Primary responsibilitiesResearch, implement and optimize state-of-the-art machine learning algorithms to enhance model performance on an AI processorDesign and … to simulate AI model performanceDevelop benchmarking frameworksEssential experienceBSc, MSc or PhD in Computer Science, EE, Mathematics or similarMinimum 2+ years in industry as an ML Engineer working on full-cycle model development for AI hardware processorsExperience in benchmarking and performance analysis of machine learning models on specialized hardware more »

efficiency (positive outcomes that cost less). Role We're seeking a passionate Data Scientist to join our team and shape the future of Machine Learning & Generative AI applied to creative marketing technology. Leveraging expertise in MarTech and AdTech, you'll build high-quality datasets, power innovative models … delivery of actionable model outputs, data products, and insights for the Dynamic Content Engine (DCE), involving data extraction, cleaning, preprocessing, and development of AI & machine learning algorithms. Automate data products and model outputs to enable DCE to consistently drive measurable results and effective insights at scale. Design, measure … Handle data imperfections and validate data integrity for modelling purposes. Report to the Head of Product, supporting the rollout of new data products and machine learning models, and transformation of data, reporting, and analytics. Utilise various programming paradigms (imperative, object-oriented, functional, declarative) and work in multi-threaded more »

Machine Learning Manager Belfast £130,000 + Bonus This client revolutionises the way companies manage and interpret their communications - they spot business critical signals that their clients can use for real innovation and growth. Their Belfast office employs some of the most talented engineers in the industry - they … constantly raise the bar. Their Machine Learning Function is a key part of the company, and they are looking for an experienced Machine Learning Manager to join. The role: Lead an agile team of Machine Learning Engineers across different geographical locations - tech lead, mentoring … innovation Work with internal tech teams to design solutions, work with other business leaders to influence outcomes The person Strong technical experience - python, NLP, ML-Ops, ML frameworks, algorithms, statistical techniques Experienced with cloud platforms, microservices and event driven architecture CI/CD tools, containerised platforms Strong leadership experience, influencing more »

Machine Learning Engineer AWS & Spark - London We are looking for an experienced hands-on AWS Architect/Cloud Engineer to join a critical project with a Fintech Giant in London. As the Machine Learning expert, you’ll be leading teams that are architecting and building complex … on technical expert, you will lead the design and implementation on the project, building a roadmap that sets the direction and objectives for the ML system architecture. You’ll be able to adapt standard machine learning techniques, raising standards within the teams to help them develop scalable systems … and offer improvements that will help reduce technical/code/engineering debt. Key Skills: Extensive experience with Machine Learning and Spark/PySpark Recommendation systems, pattern recognition, data mining, artificial intelligence Modern Parallel Computing; distributed clusters, multicore servers, GPU’s Experience with developing machine learning more »

Machine Learning Engineer £80-130k + benefits + stock options European Remote You'll be diving into large language models and conversational AI, ensuring the AI Asisstant's interactions are as natural and … effective as possible. You will develop and scale solutions that require large resources with high quality and low-latency SLAs. Why Join? AI/ML driven business Innovation is core to business success LLM/NLP space, hot topic Forge your career path, opportunity to follow leadership or senior IC … across Europe Create and improve innovative products Responsibilities: Develop and optimize conversational AI models, focusing on large language models (LLMs). Implement an advanced ML/LLM Ops workflow that concentrates on creating streamlined models for edge computing and improving software engineering productivity. Spearhead initiatives aimed at improving the performance more »

and Artificial Intelligence Products. You will lead a team of Machine Learning Engineers and Data Scientists that are continually experimenting with new ML/AI techniques and supporting the many Machine Learning models that are already key to Bazaarvoice’s business. You will work closely with … leadership and other teams to ensure the availability of our services, provide a stable and efficient platform, and enable other teams to strategically incorporate ML into their Products. You’re an excellent leader, communicator, innovative and self-motivated, with a positive approach to teamwork. You have a passion for people … years of Engineering Leadership delivering products at scale Hands-on experience with Machine Learning frameworks and algorithms Proven track-record of leading ML-enabled products from idea to delivering value in production Bachelor's Degree in Computer Science or equivalent Experience developing products on Public cloud Hosting platforms more »

contract basis. We are looking for out and out MLE's with strong commercial Machine Learning experience using the Azure/Microsoft ML suite. Responsibilities: Building software and infrastructure that leverages Machine Learning Creating reusable, scalable tools to enable better delivery of ML systems Improving existing … systems to enable more scalable, reliable, and maintainable ML systems Working with our customers to help understand their needs Working with data scientists and engineers to develop best practices and new technologies Experience required: Technical experience of cloud architecture, system design, security, and deployment Understanding of and interest in the … full machine learning lifecycle, including deployment of trained ML models using common frameworks (Scikit-learn, TensorFlow, PyTorch) and ideally Azure managed ones (Azure ML Workspace, Azure ML Studio) Experience in Software Engineering including programming and development of applications in Python (e.g. FastAPI) Demonstrable experience with containers (Docker). more »

Senior Machine Learning Engineer - London - Exciting Health-Tech Start-Up Permanent + Fun Social Team + Share options Are you a Machine Learning Engineer/Software Engineer looking for an exciting and challenging position? Heres your chance to be a part of a fast-growing health … experiencing super high growth at the moment, and have grown from 3K users to 100k users in 14 months - over 3000% growth! As a Machine Learning Engineer on their talented engineering team, you'd be working cross-functionally with other teams to build the company's product. This … is a fantastic opportunity for a mid-senior Machine Learning Engineer to work closely with the founders and CTO to make an impact and shape the future of the company. You'd be looking to out perform their other competitors and work with some of the best minds more »

Senior Machine Learning Engineer - London - Exciting Health-Tech Start-Up 🚀 📢 Permanent + Fun Social Team + Share options Are you a Machine Learning Engineer/Software Engineer looking for an exciting and challenging position? Here’s your chance to be a part of a fast-growing … experiencing super high growth at the moment, and have grown from 3K users to 100k users in 14 months - over 3000% growth! As a Machine Learning Engineer on their talented engineering team, you'd be working cross-functionally with other teams to build the company's product. This … is a fantastic opportunity for a mid-senior Machine Learning Engineer to work closely with the founders and CTO to make an impact and shape the future of the company. You'd be looking to out perform their other competitors and work with some of the best minds more »

Machine Learning Engineer - Hybrid - £120K One of our clients who are a leading technology company are seeking a Machine Learning Engineer. Offering remote working, must be located in the UK. You will have the opportunity to build machine learning models and algorithms to power … services. As well as tackle challenges relating to uses recommendation, matching, content discovery and categorisation. Skills You will have worked as a Machine Learning Engineer or similar. Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/PyTorch/… with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI. Support and drive implementation of features around NLP and LLMs. Tackle more »

AI/Python/Data scientist/Machine Learning Engineer/Neural Networks/Deep Learning/LLMs Role: Lead Data Scientist Location: Remote - Occasional Meetings in London (Client) Company: AI Analytics Start-Up Salary: up to £130,000 + Bonus Projects: Neural Networks, NLP, Machine Learning, Deep Learning Responsibilities Analyse raw data: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Collaborate with engineering team to … bring analytical prototypes to production Generate actionable insights for business improvements Lead a small team of data scientist on Neural Networks LLMs (CNN & RNN), ML, & NLP NLP/AI/ML/Spark/Python/Data scientist/Machine Learning Engineer/OCR/Deep Learning more »

I am currently on the lookout for a Security Cleared Machine Learning Engineer who has extensive experience working in the Azure Cloud Platform. I am currently looking to suppot a Public Sector consultacy who are actively supplying into a Government department. Responsibilities: Develop and deploy machine learning models on the Azure cloud platform. Collaborate with data scientists and engineers to design and implement scalable solutions. Optimize and fine-tune machine learning models for performance and efficiency. Ensure compliance with security standards and best practices. Troubleshoot and debug issues as they arise. Document code, processes … and procedures. Requirements: Extensive experience working as a Machine Learning Engineer. Strong proficiency in Python programming language. Hands-on experience with Azure cloud services, including Azure Machine Learning, Azure Databricks, and Azure Synapse Analytics. Knowledge of machine learning frameworks such as TensorFlow, PyTorch, or more »

Job Description Machine Learning Engineer - Remote - 775 Outside IR35 One of our clients who are a leading technology company are seeking a Machine Learning Engineer. Offering remote working, must be located in the UK. You will have the opportunity to build machine learning models … to power services. As well as tackle challenges relating to uses recommendation, matching, content discovery and categorisation. Skills You will have worked as a Machine Learning Engineer or similar. Experience of developing and deploying state-of-the-art recommendation algorithms using Python and relevant libraries (e.g., TensorFlow/… with AWS and technologies such as Docker, Kubernetes, EC2, ECR, ECS, Glue, Lambda, S3, Cloud Formation, Cloudwatch etc. Have proven experience deploying models and ML pipelines at scale, including experience using AWS SageMaker and/or Google Cloud AI. Support and drive implementation of features around NLP and LLMs. Tackle more »

creator ecosystem, and developing models for strategic content valuation. Multi-objective balancing and long term measurement. We rely extensively on state-of-the-art ML around personalization, deep learning, bandits, causal inference, optimization, ranking and recommendation. What You’ll Do? Within the Sharechat AI team, we are looking for … an experienced Staff ML engineer to lead the ML efforts around improving personalization models, leading efforts across 10+ MLEs and decision scientists working on feed ranking and candidate generation systems that power Sharechat’s recommender systems. In this role you will help us further improve our recommendation systems, and act … as a subject matter expert in the recommender systems and ML ranking domains. You would be joining us at an exciting time! The science behind recommendation systems is rapidly changing, and we’re making big progress at a rapid pace. Who are you? Design and help develop systems that serve more »

our R & D track by owning the evolution of our leading real time machine learning audio algorithms. If you are an experienced ML/AI Researcher with a strong academic background and prior experience using a variety of ML models on music, speech, or audio data give us … will include: Conducting research on deep learning applied to audio, going beyond the state of the art Evaluating and stress-testing AI/ML models to ensure they are real-world ready and suitable for production Optimising and shrinking ML models to enable them to operate with minimal memory … needs and low processor overhead in embedded environments Working with ML engineers to build exceptional real time audio deep learning algorithms Covering all aspects of modern ML workloads, including model research, implementation, training, evaluation, inference Communicating results internally with colleagues from different teams, and externally Writing internal reports and more »