801 to 825 of 4,371 Machine Learning Jobs in the UK

Senior ML Engineer, Generative AI Innovation Center The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. Additionally, we work closely with foundational model … providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an Senior ML Engineer on our team, you will work with clients, partners and other AWS teams to drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state-of-the-art LLMs for diverse use … Experience with design, development, optimization and productionization of generative AI solutions, algorithms, or technologies • Bachelor's degree in Computer Science or equivalent • Hands-on experience with at least one ML library or framework • 2+ years of professional experience in developing, deploying or optimizing ML models in production • 5+ years of professional experience in the full software development life cycle, including More ❯

Senior ML Engineer, Generative AI Innovation Center Job ID: AWS EMEA SARL (Poland Branch) The Generative AI Innovation Center at AWS empowers customers to harness state of the art AI technologies for transformative business opportunities. Our multidisciplinary team of strategists, scientists, engineers, and architects collaborates with customers across industries to fine-tune and deploy customized generative AI applications at scale. … Additionally, we work closely with foundational model providers to optimize AI models for Amazon Silicon, enhancing performance and efficiency. As an Senior ML Engineer on our team, you will work with clients, partners and other AWS teams to drive the development of custom Large Language Models (LLMs) across languages, domains, and modalities. You will be responsible for fine-tuning state … design, development, optimization and productionization of generative AI solutions, algorithms, or technologies PREFERRED QUALIFICATIONS • Bachelor's degree in Computer Science or equivalent • Hands-on experience with at least one ML library or framework • 2+ years of professional experience in developing, deploying or optimizing ML models in production • 5+ years of professional experience in the full software development life cycle, including More ❯

Software Engineer- AI/ML, AWS Neuron Distributed Training Do you love decomposing problems to develop products that impact millions of people around the world? Would you enjoy identifying, defining, and building software solutions that revolutionize how businesses operate? The Annapurna Labs team at Amazon Web Services (AWS) is looking for a Software Development Engineer II to build, deliver, and … Our org covers multiple disciplines including silicon engineering, hardware design and verification, software, and operations. AWS Nitro, ENA, EFA, Graviton and F1 EC2 Instances, AWS Neuron, Inferentia and Trainium ML Accelerators, and in storage with scalable NVMe, are some of the products we have delivered, over the last few years. AWS Neuron is the complete software stack for the AWS … machine learning accelerators and the Trn1 and Inf1 servers that use them. This role is for a senior software engineer in the Machine Learning Applications (ML Apps) team for AWS Neuron. This role is responsible for development, enablement and performance tuning of a wide variety of ML model families, including massive scale large language models like More ❯

At GSK, we are using Artificial Intelligence (AI) and Machine Learning (ML) to develop new therapies and personalized drugs that drive better outcomes for patients at reduced cost with fewer side effects. Because the datasets we use and algorithms we build at each step of the drug development journey have safety and ethical implications for our patients, GSK … has a dedicated team working on the responsible use of AI in healthcare. We are looking for ML engineers or data scientists that have a track record in successfully applying state-of-the-art Responsible AI methods to real-world datasets. In addition to outstanding ML engineering and data science skills, ideal candidates will demonstrate a keen interest in ethical … you will Apply state-of-the-art Responsible AI methods to problems in drug discovery and challenging biomedical datasets. Support different teams across AIML and GSK in building ethical ML pipelines and software products. Contribute to ML research on the responsible use of AI in drug discovery and clinical applications. Work closely with research scientists, senior leaders and AI/ More ❯

most creative people in the world. As a Senior Software Engineer at Autodesk Research, you will work side-by-side with world-class researchers and engineers to build new ML-powered product features to help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You are … excited to collaborate with researchers and engineers to bring the ML models they develop into Autodesk products. You will report to a research manager in Autodesk Research. We are a global team, located in London, San Francisco, Toronto, and remotely. This role is based in the UK/EU time zone and we support both in-person, hybrid, and remote … work. Responsibilities Test and Deploy Production Models: Automate ML model testing. Implement and use CI/CD pipelines to ensure seamless model deployment Monitor Model Health and Performance: Define, implement, and continuously monitor health metrics for deployed models. Track errors and issues in order of severity, providing timely and effective solutions. This role requires some on-call responsibilities Manage Re More ❯

Machine Vision Internship – Paid AI Opportunity A brilliant opportunity for a current undergraduate or postgraduate student to gain hands-on experience at a growing UK-based AI start-up working at the forefront of machine vision. This internship offers the chance to get stuck into real-world projects involving data collection, software tooling, and hands-on sensor deployment … based – mix of office, lab, and fieldwork (5 days per week) Salary: £30,000 pro rata Duration: 2–3 months, with flexible start date (potential to extend) Requirements for Machine Vision Intern Consistent top academics and studying/studied for a degree in STEM subject such as Computer Science, Engineering, or Data Science Solid Python skills and a comfort … position to qualify for UK security clearance (this usually means you have been a UK citizen for the past 5 years, have a clean criminal record etc) Responsibilities for Machine Vision Intern Supporting the set-up and testing of sensor equipment and mobile platforms Capturing and managing image and video data from a variety of environments Helping prepare data More ❯

re just getting started. If you're excited by mission-driven impact, big ideas, and helping define the future of work - join us. WHAT YOU'LL DO Build &Ship ML powered features -Start with research prototypes, then collaborate with cross functional dev pods to turn them into production ready capabilities that delight users. Own the ML stack & direction -Define languages … third party APIs (OpenAI, Anthropic, Hugging Face, etc.) versus in house models; drive clear recommendations on cost, performance, and time to value. Drive commercial impact -Measure and iterate on ML powered adoption, upsell ARR, and feature satisfaction; treat models as products, not science projects. Build the AI Centre of Excellence -Hire, mentor, and inspire a small but high performing squad … of 3-4 ML/AI engineers and MLOps specialists over the next 12 months. Champion data stewardship -Work with Product & Cloud Ops to leverage usage, booking, and sensor data while staying GDPR compliant as a data processor. Own the ML feedback loop -Partner monthly with CX, Sales, and Product to gather insights, explain model behaviour, and improve value messaging. More ❯

Delivery Consultant (AI/ML), Professional Services Job ID: AWS EMEA SARL (UK Branch) The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and … 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 & Career Growth - We're continuously raising 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 ❯

£110,000 + 20% Bonus + £6,000 Car Allowance + 6% Pension +more Are you an experienced Data Science Manager with a passion for pricing strategy , machine learning , and commercial impact ? We're hiring on behalf of a major UK-based automotive group seeking a Data Science Manager to lead pricing analytics and shape the … future of their data products. This is a high-profile opportunity to head up a dedicated Valuations & Pricing team, delivering cutting-edge machine learning solutions that influence decision-making across a large, fast-moving business. You'll have access to vast datasets, modern tooling, and the support of experienced MLOps and Data Engineering teams freeing you to focus … pricing accuracy and business performance. Work cross-functionally with Marketing and Operations data teams to extend the reach of data science across the organisation. Strong hands-on experience developing ML solutions in Python . Experience managing and growing high-performing data science teams. Azure ML , Databricks , Snowflake , SageMaker , etc.). Deep knowledge of machine learning techniques including predictive More ❯

for a Machine Learning professional to join a high-performing team within a forward-thinking real estate technology business. What you'll be doing: Build and deploy ML/AI solutions for commercial real estate, including generative AI models, LLMs, and time series analysis. Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production … ready Python code. Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle. What we're looking for: Background & Experience: 3+ years in ML/AI with a Master’s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and … key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity with commercial real estate is a plus. Location: This is a remote-first role, with occasional travel to the Canary Wharf (London) office 1–2 times per More ❯

for a Machine Learning professional to join a high-performing team within a forward-thinking real estate technology business. What you'll be doing: Build and deploy ML/AI solutions for commercial real estate, including generative AI models, LLMs, and time series analysis. Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production … ready Python code. Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle. What we're looking for: Background & Experience: 3+ years in ML/AI with a Master’s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and … key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity with commercial real estate is a plus. Location: This is a remote-first role, with occasional travel to the Canary Wharf (London) office 1–2 times per More ❯

for a Machine Learning professional to join a high-performing team within a forward-thinking real estate technology business. What you'll be doing: Build and deploy ML/AI solutions for commercial real estate, including generative AI models, LLMs, and time series analysis. Process and analyse complex CRE datasets, engineer LLM prompts, evaluate outputs, and write production … ready Python code. Collaborate cross-functionally with product and engineering teams, translating business needs into ML tasks and contributing across the full development lifecycle. What we're looking for: Background & Experience: 3+ years in ML/AI with a Master’s (or higher) in a quantitative field such as Computer Science, Statistics, or Engineering. Technical Skills: Proficient in Python and … key ML libraries, with hands-on experience in LLMs, prompt engineering, data processing, and production-level code development. Mindset & Communication: Strong analytical thinking, scientific approach to problem-solving, and clear communication skills; familiarity with commercial real estate is a plus. Location: This is a remote-first role, with occasional travel to the Canary Wharf (London) office 1–2 times per More ❯

office The Role MVF is seeking an exceptionally skilled and driven Data Scientist to deliver upon our plans for growth. This is a hybrid-role across Data Science and ML Engineering: we would like someone with either a background in machine learning engineering, but a desire to learn and grow in creating data science products or vice versa. … models from inception to production. Responsibilities: Build and manage a Machine Learning Platform by selecting and integrating tools that complement the existing data ecosystem (AWS, Snowflake) Productionise ML models, ensuring that they are running scalably, efficiently and robustly Develop Data Science/Machine Learning products addressing key business needs in accordance with ML best practices What … Machine Learning is executed using best-in-class tools, techniques, and approaches within budget and time constraints Ensuring exceptional data integrity and quality across all projects Develop ML monitoring and observability pipeline for deployed models Our Ideal MVF'er: 3+ years of experience in a dedicated Data Science/Machine Learning role; additional data or commercial More ❯

As an AI Engineer at DRW, you will be an integral member of a collaborative multi-asset trading team. You'll work on high-impact machine learning (ML) and artificial intelligence (AI) initiatives that are central to our business strategy. In this role, you will build critical infrastructure and tooling that leverages AI and ML technology to enhance … business use cases. Implement automated systems for continuous training, validation, and monitoring of models, minimizing downtime and ensuring reliability. Provide technical leadership in selecting, integrating, and optimizing AI and ML frameworks, libraries, and tools across diverse hardware and software environments. Create and maintain feature pipelines, feature stores, and model stores. Develop frameworks to enable scalable, reproducible research. Proactively troubleshoot performance … intelligence technology. Strong understanding of core machine learning and artificial intelligence concepts. Excellent programming skills in Python. Demonstrated experience in building, validating, deploying, monitoring, and updating production ML and AI models. Hands-on experience with MLOps and AIOps infrastructure and tooling. Proficient in problem-solving and analytical reasoning. Exceptional communication and collaboration skills. Experience with ML frameworks such More ❯

have a deep understanding of machine learning, natural language processing, and the latest advancements in AI technologies. Key Responsibilities: Lead and mentor a team of highly skilled ML engineers and researchers Drive the development of next-generation AI and LLM technologies Collaborate with cross-functional teams to integrate AI solutions into products Define and implement best practices for … learning, and ethical AI development Requirements Qualification : MS or PhD in Computer Science, Machine Learning, or a related field 7+ years of experience in AI/ML engineering, with at least 3 years in a leadership role Proven track record of successfully delivering complex AI projects Deep expertise in machine learning, deep learning, and … natural language processing Hands-on experience with LLM architectures (e.g., Transformer-based models) Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow) Experience with large-scale distributed computing and ML infrastructure Excellent communication skills and ability to translate technical concepts to non-technical stakeholders Track record of publications or patents in AI/ML is a More ❯

have a deep understanding of machine learning, natural language processing, and the latest advancements in AI technologies. Key Responsibilities: Lead and mentor a team of highly skilled ML engineers and researchers Drive the development of next-generation AI and LLM technologies Collaborate with cross-functional teams to integrate AI solutions into products Define and implement best practices for … learning, and ethical AI development Requirements Qualification : MS or PhD in Computer Science, Machine Learning, or a related field 7+ years of experience in AI/ML engineering, with at least 3 years in a leadership role Proven track record of successfully delivering complex AI projects Deep expertise in machine learning, deep learning, and … natural language processing Hands-on experience with LLM architectures (e.g., Transformer-based models) Strong programming skills in Python and familiarity with ML frameworks (e.g., PyTorch, TensorFlow) Experience with large-scale distributed computing and ML infrastructure Excellent communication skills and ability to translate technical concepts to non-technical stakeholders Track record of publications or patents in AI/ML is a More ❯

Large Language Model (LLM), or Large Computer Vision projects. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. Use machine learning and analytical techniques to create scalable solutions for business problems. Research and implement novel machine learning and statistical approaches. Mentor junior scientists … at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical … image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models. BASIC QUALIFICATIONS - PhD, or Master's degree and 6+ years of applied research experience - Experience programming in Java, C++, Python or related language - Experience with neural deep learning methods and machine learning - Experience with More ❯

in Computer Vision and Machine Learning. A day in the life As a senior applied scientist at Amazon, you'll be diving deep into groundbreaking computer vision and ML challenges. Your typical day involves architecting large-scale ML systems, collaborating with cross-functional teams, and mentoring junior scientists. You'll work with massive datasets, optimize model performance, and ensure … production readiness. BASIC QUALIFICATIONS PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field Experience programming in Java, C++, Python or related language Experience with neural deep learning methods and machine learning Experience in building machine learning models for business application Experience in applied research PREFERRED More ❯

Are you passionate about applying machine learning and statistical modeling to revolutionize financial systems that handle billions of dollars in transactions? Our team faces a unique challenge: developing intelligent systems to process, analyze, and derive insights from massive financial datasets generated across Amazon's global operations. This includes millions of customer transactions, vendor payments, inventory movements, commission calculations … and real-time data processing Develop automated decision-making systems for financial workflows Create scalable algorithms that balance accuracy, latency, and computational efficiency Collaborate with software engineers to productionize ML models The ideal candidate will have: Experience in machine learning, statistical modeling, and data analysis Experience with large-scale distributed systems and cloud computing Proven track record of … generation financial systems while solving novel problems in machine learning and automated decision-making. BASIC QUALIFICATIONS - PhD, or Master's degree and 5+ years of CS, CE, ML or related field experience - Experience programming in Java, C++, Python or related language - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel More ❯

Data Scientist – Category Management (with ML/AI Focus) About the Role: Quest Search & Selection is working with a leading tech-driven eCommerce platform specializing in consumer goods and rapid delivery. Offering a wide product assortment; including groceries, household essentials, over-the-counter medicine, office supplies, and fresh food. The business leverages data and innovation at scale to drive customer … Create automated pipelines for monitoring performance of buying policies and flagging anomalies or risks in product lifecycle. Lead post-implementation reviews with insights into the performance of AI/ML systems and identify opportunities for further optimization. Set and tune dynamic targets for availability and expiry rates using continuous learning models. Guide and mentor a Data Analyst to support … ongoing analysis, data pipeline development, and dashboarding. Key Requirements: 4–6 years of experience in data science, analytics, or ML engineering , ideally in consumer products, retail tech, or supply chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn More ❯

Data Scientist – Category Management (with ML/AI Focus) About the Role: Quest Search & Selection is working with a leading tech-driven eCommerce platform specializing in consumer goods and rapid delivery. Offering a wide product assortment; including groceries, household essentials, over-the-counter medicine, office supplies, and fresh food. The business leverages data and innovation at scale to drive customer … Create automated pipelines for monitoring performance of buying policies and flagging anomalies or risks in product lifecycle. Lead post-implementation reviews with insights into the performance of AI/ML systems and identify opportunities for further optimization. Set and tune dynamic targets for availability and expiry rates using continuous learning models. Guide and mentor a Data Analyst to support … ongoing analysis, data pipeline development, and dashboarding. Key Requirements: 4–6 years of experience in data science, analytics, or ML engineering , ideally in consumer products, retail tech, or supply chain. Solid understanding of supervised learning, time-series forecasting, clustering , and other core ML techniques. Strong experience with SQL and querying large, complex datasets. Proficiency in Python (Pandas, scikit-learn More ❯

Large Language Model (LLM), or Large Computer Vision Models. Use SQL to query and analyze the data. Use Python, Jupyter notebook, and Pytorch to train/test/deploy ML models. Use machine learning and analytical techniques to create scalable solutions for business problems. Research and implement novel machine learning and statistical approaches. Mentor interns. Work … at very large scale. About the team When a customer returns a package to Amazon, the request and package will be passed through our WWRR machine learning (ML) systems so that we could improve the customer experience, identify return root cause, optimize re-use, and evaluate the returned package. Our problems touch multiple modalities spanning from: textual, categorical … image, to speech data. We operate at large scale and rely on state-of-the-art modeling techniques to power our ML models: XGBoost, BERT, Vision Transformers, Large Language Models. Minimum Qualifications 2+ years of building models for business application experience. PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience. Experience programming in More ❯

work closely with stakeholders across technology, operations, data, and compliance to ensure AI initiatives are innovative, responsible, and aligned with strategic goals. Key Responsibilities: Research and prototype AI/ML models to address business challenges (e.g., process automation, predictive analytics, customer service optimisation) Develop and deploy machine learning models using modern tools (e.g., Python, TensorFlow, PyTorch, Scikit-learn … in applied machine learning Lay the groundwork for a scalable AI strategy and help build internal capability What Youll Bring: Proven experience developing and deploying AI/ML models in a commercial setting Strong programming skills in Python and familiarity with ML libraries and frameworks Solid understanding of statistical modelling, natural language processing (NLP), and/or deep … learning Experience working with structured and unstructured data sources Familiarity with MLOps practices and tools (e.g., model versioning, CI/CD for ML, cloud deployment) Excellent communication and stakeholder engagement skills Bachelors or Masters degree in Computer Science, AI, Data Science, or a related field Experience in financial services is a plus but not required Why Join? Be the More ❯