101 to 125 of 435 Machine Learning Jobs with Hybrid or WFH Options

AI Lead Engineer - LLM, Machine Learning London based contract, hybrid working - AI/LLM Lead Engineer/Architectspecialise in AI applications and Large Language Models AI Lead Engineer/Architect Artificial Intelligence/Machine Learning experts with LLM, NLP Experience: Advise on LLM SW Engineering principals more »

Location: Weymouth Benefits: Competitive salary, 25 Days Holiday, Hybrid Working Responsibilities: Manage and mentor a team of data analysts, fostering a culture of continuous learning to drive performance. Lead the formulation and execution of a comprehensive data strategy, encompassing service performance metrics, sales KPIs aligned with business objectives. Oversee … trends, opportunities, and areas for improvement within the sales function. Collaborate with cross-functional teams to develop and execute an AI strategy that leverages machine learning, natural language processing, computer vision, and other AI technologies to drive innovation and competitive advantage. Lead the application of advanced analytics techniques … such as predictive modelling, machine learning, and statistical analysis, to derive actionable insights from service performance metrics and sales KPIs. Design and develop intuitive and interactive dashboards, reports, and data visualisations using Power BI or similar tools, enabling stakeholders to gain insights and make informed decisions based on more »

have exposure to modern data tools including Azure Databricks, Cosmos, and data integration technologies. Additional exposure to working with data science teams, and supporting machine learning activity would be highly valued. MAIN RESPONSIBILITIES Be the accountable person for Data as a Product at GRIDSERVE and own the product … Architect ensuring that the Product Roadmap aligns with the Data Platform Roadmap and evolution, influencing the product roadmap as new platform capabilities such as machine learning and artificial intelligence are introduced Develop the product catalogue, roadmap, backlog, and sprint planning while utilizing scrum, agile, and DevOps methodologies. Demonstrate … to non-Azure technologies and familiar with the strengths and weaknesses of a spectrum of BigData and Streaming technologies. Experience with Data Science and ML teams. Experience with the Azure cloud-based data frameworks Experience of cloud based data warehouses. Required qualifications and certifications Microsoft Dynamics Certifications or other relevant more »

diagrams to explain a data processing system on a cloud environment Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to … productionise advanced data deliverables, such as machine learning models Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice more »

diagrams to explain a data processing system on a cloud environment Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. Can … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists to … productionise advanced data deliverables, such as machine learning models Life at Made Tech We're committed to building a happy, inclusive and diverse workforce. You can get a sense of what it's like working here from our blog, where we talk about mental health, communities of practice more »

synapse, Databricks, SQL, Python and DataOps. This is a fantastic opportunity for a Data Engineer to gain exposure to different business areas from Visualisation, Machine Learning/AI and governance. Alongside this my client is going to be going through a cloud migration to Azure. Responsibilities : Collaborate with … implement data integration and ETL/ELT processes. Optimise and tune data storage and retrieval processes. Collaborate with the Data Science team to implement machine learning algorithms and AI models. Ensure data quality and integrity throughout the data lifecycle. Monitor and troubleshoot data pipelines to ensure optimal performance. more »

re looking for people that are comfortable with terms like; Statistical Models, Computer Vision, Predictive Analytics, Data Visualization, Large Language Models (LLM), NLP, AI, Machine Learning, MLOPs, Python, Pyspark, and Azure. Flexible Working : The role is 60% work from home Sponsorship : Sadly sponsorship isn't available for these … more than capable with SQL & Python You have exposure to big data technologies such as Spark Ideally you will have experience with statistical analysis, machine learning algorithms, and data mining techniques You have excellent communication skills and can communicate well with both technical and non-technical stakeholders Any more »

As a Senior AI Consultant, you will work on a range of projects, using your experience in data science and AI technologies such as machine learning, generative AI, computer vision, natural language processing and deep learning . As well as being responsible for identifying AI opportunities, designing … Experience in using generative AI and LLM tools and frameworks, like GPT, PaLM, DALL-E, CLIP, and others . Experience in data analysis and machine learning programming languages, such as Python, R, SQL, Java If you are an experienced AI Consultant; passionate towards Microsoft Azure AI services and more »

As a Senior AI Consultant, you will work on a range of projects, using your experience in data science and AI technologies such as machine learning, generative AI, computer vision, natural language processing and deep learning . As well as being responsible for identifying AI opportunities, designing … Experience in using generative AI and LLM tools and frameworks, like GPT, PaLM, DALL-E, CLIP, and others . Experience in data analysis and machine learning programming languages, such as Python, R, SQL, Java If you are an experienced AI Consultant; passionate towards Microsoft Azure AI services and more »

AWS accounts and infrastructure to host our systems for LLM-inference, including advanced RAG. To this end you will collaborate tightly with Data Scientists, Machine Learning, Big Data, and Software Engineers in a Scrum environment. You can support streamlining deployment and establish best practices in infrastructure management for … of newly created AWS accounts Enable two teams in our business by managing LLM-Operations Communicate effectively with team members and stakeholders, explaining complex machine learning concepts in a clear and concise manner. Your skills and qualifications: 5+ years of experience in DevOps, Cloud Operations, Data Engineering, or more »

Cloud-Based Infrastructure: Knowledge of cloud platforms and automation. Collaboration: Effective teamwork in an agile environment. Machine Learning Models (Beneficial): Experience with ML models. Why Join this company? Innovative Mission: Fight cancer with groundbreaking AI-enhanced diagnostics. Unique Technology: Work on a patented platform using IR spectroscopy. Growth … Up Journey: Experience the dynamic startup environment firsthand. Autonomy and Ownership: Take ownership of impactful projects. Cutting-Edge Technology: Work with advanced tech like machine learning and IR spectroscopy. Cross-Disciplinary Collaboration: Learn from experts in various fields. Regulatory Insight: Navigate complex regulatory landscapes. Career Acceleration: Develop skills more »

help to inform the business and work with the Performance Insights Lead to develop the BI dashboards and visualisation tools. - Investigate and implement relevant machine learning and AI tools to identify previously unknown insights and trends - Automate reporting and reduce the reliance on Excel based outputs - Build a …/bi/visualisation platforms such as MS Power BI - Will be able to build and exploit data models, statistical analysis or predictive analytics, machine learning or artificial intelligence - Be experienced at embedding insights and working with the business to be able to use the data to make more »

days) Week 6 - Probability & Statistics (3 days) Week 7 - Maths & Statistics Project (Self Study) Week 8 - Algorithms & Graph Theory (3 days) Week 9 - Machine Learning 1 (3 days) Week 10 - Machine Learning 2 (3 days) Week 11 - Data Science Project (Self Study) Week 12 - Project Review more »

CI/CD, CircleCI, FluxCD Your Experience: At least 5+ years of experience in development with GO is essential Expertise in data-driven systems, machine learning, and big data. Familiarity with batch and streaming technologies. Proficiency in multiple programming languages. Experience with container and orchestration technologies. Knowledge of …/document/SQL databases. Understanding of microservices, observability, and cloud providers of cybersecurity concepts and data.DevOps/SecDevOps Over the Top: Experience with machine learning algorithms. Knowledge Familiarity with Clojure. Experience with graph databases. Ready to make a difference in the cybersecurity landscape? Apply now. An attractive more »

classified. You will be surrounded by some of the smartest technologists in the UK and have access to the latest tooling and methodologies across machine learning, software engineering & cloud. What you'll bring with you: we are looking for intelligent, creative problem solvers with broad exposure to cloud … machine learning and software development. Experience with Python & AWS/Azure is a solid baseline. You will also be a pragmatist and ideally have a 'consultant' mentality. You will be interacting with end-users and clients on a regular basis. Working patterns: this is a hybrid role with more »

and be responsible for a team of analytics engineers to ensure the delivery of high-quality data products needed for security teams operations, analytics, machine learning and Gen AI applications. The analytics engineering team plays a direct role in the success of the cyber data team and is … responsible for Data Acquisition: Gather data from variety of security sources using the scaffoldings provided by data platform engineering team supporting operations, analytics and machine learning and AI use cases. Data Transformation and Modelling: Transforming raw data into various data models by cleaning, normalising, standardising, filtering, aggregating, and … from a range of backgrounds. For more information about our colleague networks please click here ● Opportunities to get on - take advantage of our ongoing learning opportunities and award-winning training, to help you achieve the job and career you want Click Here to read more about the full range more »

has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the … Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity more »

has a good understanding of Data Science techniques and the CRM environment. RESPONSIBILITIES: Working on personalisation of the customer journey on end-to-end machine learning projects Working with Python, SQL, Databricks and GCP/Azure Operating closely with a high-calibre team and various stakeholders in the … Hybrid working HOW TO APPLY: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, Machine Learning, Data Science, Data Scientist, Retail, Churn, Propensity more »

with millions of users per day. As a Lead Backend Software Engineer you'll join a cross functional team, collaborating with Data Scientists and Machine Learning Engineers as the business seeks to introduce cutting edge AI technology. You'll design and implement the underlying application layer to expose … AI concepts such as LLM, OpenAI, Hugging Face, Vision, multi-modal, embedding models, similarity search, dense vector persistence as well as an understanding of Machine Learning concepts - you may have an relevant MSc, contribute to blogs, attend conferences and events You have experience with RESTful APIs, messaging, event more »

I’m on the lookout for a Senior Machine Learning Engineer to join an InsurTech scale-up on a contract basis! You’ll be working closely with Data Scientists and Software Engineers to develop and productionise a … greenfield NLP product. Experience required (min. 5 years): NLP MLOps with Cloud (AWS w/SageMaker preferred, other clouds also considered) End-to-end ML experience Other details: Up to £650 per day outside IR35 3 stage interview process 6 month contract (possibility to extend) Mostly remote – twice per month more »

large and complex datasets: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Develop, implement, and maintain predictive models Utilise machine learning algorithms to improve product recommendations and marketing strategies. Collaborate with IT and data engineering teams to ensure seamless data flow and infrastructure … support. Generate actionable insights for business improvements Key Skills: Proficient in Excel is absolutely essential here Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Previous experience of working on AI focused projects Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity more »

I'm currently working with an energy trading client who is looking to continue scaling their team and are currently searching for a Machine Learning Engineer and will consider individuals from a Python Engineering or Data Science background. Based in Central London, this company offers hybrid working with more »

utilizing C# .Net and JavaScript within a fast-paced, dynamic environment. This role will involve working with AI so knowledge of Generative AI and Machine Learning is a must. As a result of their hard work, our client has received several award nominations across innovation projects and in … Previous experience leading the delivery of innovative products or software solutions Strong experience with agile ways of working Strong understanding of Generative AI and Machine Learning and a passion for keeping up with the latest revelations in tech This is a hybrid working opportunity out of their Leeds more »

trends, and correlations within the data to uncover actionable insights. Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. Implement machine learning techniques to segment customers and personalise marketing strategies. Collaborate with cross-functional teams to enhance CRM strategies based on data-driven insights. … and demographic data. Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 years experience in data analysis, statistical modelling, and machine learning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure. Strong programming skills more »

the data to uncover actionable insights. Model Development and Deployment • Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. • Implement machine learning techniques to segment customers and personalize marketing strategies. • Deploy models into production systems to drive real-time decision-making processes. CRM and … engagement, satisfaction, and loyalty. • Continuously monitor market trends and competitor activities to identify opportunities for innovation. Skills • Experience in data analysis, statistical modelling, and machine learning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in languages such as more »