51 to 75 of 965 Machine Learning Jobs in the UK excluding London

days/week in office) Up to £120k Shares Benefits A fast-growing Data & AI company at the forefront of cutting-edge AI solutions are looking for an ML Lead to join the team and spearhead a number of ambitious projects, shaping the architecture, direction, and delivery of advanced AI initiatives. What you’ll do Lead the design and development … of Agentic AI systems, generative models, and NLP-powered solutions. Guide and manage a small talented ML engineering team, fostering innovation and technical excellence. Collaborate with product, data science, and engineering teams to bring state-of-the-art research into production. Evaluate and implement the latest AI frameworks, libraries, and cloud tools. Champion best practices in model deployment, evaluation, and … optimisation. What we’re looking for Strong track record in ML leadership, ideally in production-scale AI systems. Expertise in Agentic AI, LLM-based architectures, NLP techniques, and generative AI models. Solid programming skills (Python preferred) and experience with ML frameworks such as PyTorch, TensorFlow, Hugging Face. Hands-on experience with prompt engineering, fine-tuning LLMs, and building multi-agent More ❯

our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We're continuously … sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. BASIC QUALIFICATIONS - Deep experience in design/implementation/consulting experience of Machine Learning/AI/Deep Learning/Gen AI solutions - Strong understanding and experience in the field of AI and related technologies, including deep learning and … overall machine learning concepts. Deep experience developing AI models in real-world environments. - Strong understanding of Gen AI technologies. Having worked with both structured and unstructured data in the past to gain effective insights. - Solid grounding in statistics, probability theory, data modelling, machine learning algorithms and software development techniques and languages used to implement analytics solutions More ❯

research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment. This role is all about taking cutting-edge ML research projects and moving them into production — building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your … time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment. Key Responsibilities Collaborate with ML scientists to ingest and process large-scale, high-frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership … of end-to-end solutions, from research to execution. What We’re Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI More ❯

research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment. This role is all about taking cutting-edge ML research projects and moving them into production — building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your … time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment. Key Responsibilities Collaborate with ML scientists to ingest and process large-scale, high-frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership … of end-to-end solutions, from research to execution. What We’re Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI More ❯

research and high-performance trading. You’ll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment. This role is all about taking cutting-edge ML research projects and moving them into production — building robust pipelines that allow models to trade with reliability and speed. You’ll be hands-on with code (around 80% of your … time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment. Key Responsibilities Collaborate with ML scientists to ingest and process large-scale, high-frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership … of end-to-end solutions, from research to execution. What We’re Looking For 5+ years’ experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI More ❯

research and high-performance trading. You'll join a highly skilled Research Engineering team, in a fast-moving, high-volume environment. This role is all about taking cutting-edge ML research projects and moving them into production - building robust pipelines that allow models to trade with reliability and speed. You'll be hands-on with code (around 80% of your … time), collaborating closely with ML scientists, and owning solutions from ingestion to deployment. Key Responsibilities Collaborate with ML scientists to ingest and process large-scale, high-frequency market data. Build and maintain pipelines for training, backtesting, and deploying ML models into a live trading environment. Ensure production systems are reliable, scalable, and optimised for ultra-low latency trading. Take ownership … of end-to-end solutions, from research to execution. What We're Looking For 5+ years' experience in high-level engineering roles. Proven track record building ML research pipelines in complex technical environments. Experience in Python (and ideally C++) plus Kubernetes, Ray, PyTorch, Terraform, and cloud platforms (AWS, GCP, or Azure). Strong mathematical or statistical background. Background in AI More ❯

Machine Learning Software Engineer Contract ?? London or Manchester | Hybrid (80% on-site) ?? Up to £600 per day | Inside IR35 ?? DV Clearance Required Were working with a leading consultancy on a Machine Learning Software Engineer contract, delivering high-impact projects in secure government environments. Youll bring: Python and/or JavaScript/TypeScript experience, strong AWS skills More ❯

the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand … troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven … communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity More ❯

the opportunity to work with market leading business & retailers! They are looking for a Data Scientist to join their Data Science team! RESPONSIBILITIES: Work on designing and building advanced ML models - including propensity and clustering Apply machine learning, statistical, and econometric methods to a range of other customer data science problems Working closely within a team to understand … troubleshoot, and maintain machine learning models Maintain and enhance existing ML models, ensuring all models are deployed in production are monitored. Stay updated with the latest developments in ML/AI, and related fields to keep the company at the forefront of technological advancements REQUIREMENTS: PhD Degree in Computer Science, Artificial Intelligence, Mathematics, Statistics or related fields. Proven … communication skills Knowledge of databases and SQL NEXT STEPS: Register your interest by sending your CV to Joseph Gregory via the Apply link on this page. KEYWORDS: Data Science, Machine Learning, Retailers, Pricing, Price optimisation, Demand Forecasting, Customer, cluster, propensity More ❯

continuous learning, and are passionate about advancing your expertise in data science and AI You excel in collaborative team environments while taking full ownership of your deliverables Advanced ML Architectures : Experience implementing specialised neural networks such as Graph Neural Networks (GNNs) for modelling complex relationships or Physics-Informed Neural Networks (PINNs) for incorporating domain knowledge LLM Specialisation : Hands-on … predictive modelling, or scenario generation in data-driven applications Energy Domain Knowledge: Background in power systems, energy dispatch optimisation, grid modelling, or other energy sector applications where AI/ML drives operational decisions We use a wide variety of tools and technologies across our products. For this role, we're looking for: Strong Python proficiency with hands-on experience in … AI/ML frameworks including RAG, LangChain, TensorFlow, and PyTorch Practical experience with Generative AI and exposure to leading LLM platforms (Anthropic, Meta, Amazon , OpenAI) Proficiency with essential data science libraries including Pandas, NumPy, scikit-learn, Plotly/Matplotlib, and Jupyter Notebooks Knowledge of ML-adjacent technologies, including AWS SageMaker and Apache Airflow. Strong skills in data preprocessing, wrangling, and More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed … your working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present … organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools More ❯

role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for … making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with … cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query More ❯

role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for … making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with … cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query More ❯

role combines traditional data science expertise with software engineering capabilities to build end-to-end AI solutions. The ideal candidate will have a strong foundation in both developing sophisticated machine learning models and implementing them within production systems. You will work closely with cross-functional teams to transform concepts into scalable AI-powered products. We are looking for … making Translate business requirements into technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines, and ETL processes Familiarity with … cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers beyond Azure Familiarity with container orchestration (Kubernetes) Knowledge of graph databases and query More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯