126 to 150 of 1,524 Machine Learning Jobs in the UK

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 ❯

We're Hiring: Machine Learning Engineer (Research-Focused) Type: Contract 4 - 6 Months Location: West London Salary: Up to £75 p/h Our client, a globally recognised technology leader , is seeking a Machine Learning Engineer with a strong research background to drive advancements in computer vision, generative AI, and deep learning. The organisation is renowned … of users worldwide. This role offers the chance to be part of a pioneering R&D team shaping the future of AI Requirements: PhD (or current PhD student) in ML/AI/Computer Vision. Exceptional Master's candidates with extensive research experience will also be considered. Strong foundations in Machine Learning, Computer Vision, and Deep Learning … computer vision and/or language processing) Foundation Models (computer vision and/or language processing) Parameter-Efficient Fine-Tuning Data/Model Privacy Model Optimization for Multi-Task Learning Why Join? Work on advanced AI research with global impact, alongside leading experts in the field. If you are ready to take on this challenge, we'd love to 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 ❯

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 ❯

Overview We're Hiring: Machine Learning Engineer (Research-Focused) Type: Contract 4 - 6 Months Location: West London Salary: Up to £75 p/h Our client, a globally recognised technology leader , is seeking a Machine Learning Engineer with a strong research background to drive advancements in computer vision, generative AI, and deep learning. The organisation is … of users worldwide. This role offers the chance to be part of a pioneering R&D team shaping the future of AI. Requirements PhD (or current PhD student) in ML/AI/Computer Vision. Exceptional Master's candidates with extensive research experience will also be considered. Strong foundations in Machine Learning, Computer Vision, and Deep Learning … computer vision and/or language processing) Foundation Models (computer vision and/or language processing) Parameter-Efficient Fine-Tuning Data/Model Privacy Model Optimization for Multi-Task Learning Why Join? Work on advanced AI research with global impact, alongside leading experts in the field. If you are ready to take on this challenge, we would love to More ❯

AWS, GCP or Azure. Beneficial Skills and Experience: Keen interest in artificial intelligence and its application to drug discovery Understanding of ligand- and structure-based drug design. Experience with machine learning and major machine learning frameworks such as scikit-learn or PyTorch Proficiency in a low-level programming language such as C/C++ or Rust. … its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world's largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale - up More ❯

IR35 + REMOTE – UP TOO £500 P/D Inspirec has partnered with a dynamic and innovative leader in the technology industry, who are seeking a highlymotivated AI/ML DevOps Engineer to join their team on a contract basis. We are seeking an experienced ML Ops/DevOps Engineer to manage the deployment, monitoring, and lifecycle of AI/… ML solutions. This role ensures the reliability, security, and auditability of machine learning models in production environments, supporting scalable and compliant AI operations. Key Responsibilities: • Design, build, and maintain robust deployment pipelines for machine learning models. • Monitor model performance and data drift; manage retraining and redeployment processes. • Ensure version control, reproducibility, and auditability of all AI …/ML assets. • Implement effective logging, monitoring, and alerting for AI services and infrastructure. • Guarantee adherence to security, governance, and infrastructure standards, especially in regulated environments. • Collaborate closely with data scientists and software engineers to productionize prototypes into scalable, maintainable solutions. Essential Skills & Experienc: • Hands-on experience with ML Ops tools such as MLflow, Kubeflow, Amazon SageMaker, Vertex AI, orequivalent More ❯

the next generation of multiple advertising solutions. This role requires a deep understanding of data management, governance, ACR (automatic content recognition) and the applications in machine learning (ML) to optimize data our ad stack. Responsibilities ACR Data Pipeline Strategy Development: Define and execute a comprehensive ACR data strategy that aligns with business objectives and product vision. Data Governance … and other downstream applications. Cross-functional Collaboration: Work closely with engineering teams to make data accessible across the organization and drive data integration into various product lines. Vision for ML and AI: Develop and implement a vision for leveraging ML technologies to process data and enhance the ad stack. Evaluate and implement the use of Agentic AI applied to Data … members to deliver data-driven solutions in Agile Product Management processes. Technical Skills: Strong understanding of data management, data governance, and data integration technologies. Experience with AWS and Databricks. ML Knowledge: Experience with machine learning applications in data processing and advertising technology. Leadership: Demonstrated leadership skills with the ability to inspire and guide teams towards achieving strategic goals. More ❯

data? Join a fast-growing tech and software innovation company in the heart of London. We’re looking for a Data Scientist eager to apply advanced modelling, analytics, and machine learning to build cutting-edge software solutions that empower businesses, streamline operations, and unlock growth. 🔍 Your Responsibilities: Data exploration & modelling: Work with large, complex datasets to uncover insights … and build scalable predictive models. Machine learning development: Design, train, and deploy models for applications. Software integration: Collaborate with engineers to integrate data-driven models into live products and platforms. Tool & framework development: Build algorithms, APIs, and analytical tools that enhance product capabilities and improve user experience. Data storytelling & reporting: Create dashboards and visualisations that communicate insights clearly … STEM field: Statistics, Mathematics, Computer Science, Engineering, or similar. Programming proficiency: Strong experience with Python and SQL; familiarity with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, or PyTorch. Machine learning expertise: Hands-on experience in supervised and unsupervised learning, with exposure to NLP, computer vision, or deep learning a plus. Data visualisation: Proficiency in Tableau More ❯

Senior Machine Learning Engineer £90000-110000 GBP Hybrid WORKING Location: Gloucester, South West - United Kingdom Type: Permanent Senior Machine Learning Engineer - Defence & Security £90,000 - £110,000 Gloucester Area Hybrid (2-3 days on-site as required) To be eligible, candidates must hold sole British nationality and have active SC Clearance click apply for full job More ❯

Applied Scientist, AWS Professional Services Job ID: Amazon Web Services, Inc. Are you looking to work at the forefront of Machine Learning (ML) and Artificial Intelligence (AI)? Would you be excited to apply AI algorithms to solve real world problems with significant impact? The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Applied Scientist to … help customers implement AI/ML solutions and realize transformational business opportunities. This is a team of scientists, engineers, and architects working step-by-step with customers to build bespoke solutions that harness the power of AI. The team helps customers imagine and scope the use cases that will create the greatest value for their businesses, select and train and … design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. We're looking for Applied Scientists capable of using AI/ML and other techniques to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems. Key job responsibilities Implement end-to-end AI/ML and GenAI More ❯

join our Product Listings team-focused on unlocking smarter, more scalable advertising through automation and optimisation. This is a hybrid role combining deep data science expertise with production-grade ML engineering. You'll be a driving force behind our performance marketing automation: designing experiments, building predictive models, and deploying them at scale to help optimise product bidding and maximise profit … across platforms like Google Shopping. Expect to work across the full ML lifecycle-from exploring large, messy datasets and engineering features, to evaluating models offline and running experiments to validate impact. At the same time, you'll build, deploy and monitor models in production: setting up retraining workflows, pipeline orchestration, and performance alerts. You will be supported in this by … your tech lead and colleagues from the wider Data Science chapter at Lyst. We work mainly in Python using all the standard ML toolkits and frameworks (e.g. SKLearn, Tensorflow, Pytorch), and run our ML code in the AWS environment using Sagemaker where possible. We have a strong preference for clean, documented, well tested and reviewed code and have tooling and More ❯

teams to deliver high-quality, production-ready machine learning solutions. You'll join a forward-thinking group of engineers who are building the foundations of a modern ML platform and shaping best practices across the business. The Opportunity As a Senior MLOps Engineer, you will design and maintain the infrastructure that powers machine learning products from … ensuring that models are deployed efficiently, monitored effectively, and continuously improved. This is a hands-on role where you'll influence the tools, frameworks, and culture that define how ML is delivered. You'll champion automation, testing, and reliability, helping to establish a best in class environment for experimentation and production at scale. Skills and Experience Solid track record of … building and deploying machine learning solutions in production environments Strong experience working with Python Proficiency in Azure Experience designing and maintaining CI/CD pipelines for ML workflows Familiarity with monitoring, testing, and automation in ML systems Senior MLOps Engineer More ❯

Job Description: Your impact Are you a software engineer with a working knowledge of Artificial Intelligence and Machine Learning? Are you interested in developing software for some of the most cutting-edge defence and aerospace projects in the UK? If you like the sound of developing software for projects such as … a 6th generation Stealth Fighter jet or a revolutionary Laser Directed Energy Weapon, then Leonardo would like to hear from you. Leonardo has significant interest in exploiting AI/ML technology so this role will be supporting our systems engineers with research projects while developing deployable software that makes use of AI/ML technologies. We are looking for someone … across the full software lifecycle Experience of using C++ and Python with familiarity of numerical techniques Strong numeric, analytical and problem-solving skills with a focus on AI/ML algorithm development Experience delivering software in a regulated environment: medical, aerospace, or automotive Experience of real-time operating systems and embedded development Experience working to an Agile lifecycle. Awareness of More ❯

We're hiring: Machine Learning Engineer (LLMs & AI Agents) We're looking for a hands-on Machine Learning Engineer to help design, deploy, and optimise the next generation of AI agents powered by large language models (LLMs) . This is your chance to work at the cutting edge of generative AI - turning research into production-ready … latency optimisation to ensure reliability at scale. Collaborating with researchers to identify failure modes and create robust solutions. What we're looking for 2+ years' hands-on experience in ML/AI (recommendation systems, data mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or … TensorFlow . Understanding of MLOps practices (evaluation, monitoring, scaling). Master's (or equivalent experience) in Computer Science, AI, ML, or related field. Bonus points for: experience designing annotation schemas, Kaggle Master credentials, or published research. Ready to help shape the future of LLM agents? Apply now and join us at the frontline of AI innovation . Send your CV More ❯

We're hiring: Machine Learning Engineer (LLMs & AI Agents) We're looking for a hands-on Machine Learning Engineer to help design, deploy, and optimise the next generation of AI agents powered by large language models (LLMs) . This is your chance to work at the cutting edge of generative AI - turning research into production-ready … latency optimisation to ensure reliability at scale. Collaborating with researchers to identify failure modes and create robust solutions. What we're looking for 2+ years' hands-on experience in ML/AI (recommendation systems, data mining, or similar). Proven track record of building or deploying GenAI/LLM systems into production. Strong Python skills, with experience in PyTorch or … TensorFlow . Understanding of MLOps practices (evaluation, monitoring, scaling). Master's (or equivalent experience) in Computer Science, AI, ML, or related field. Bonus points for: experience designing annotation schemas, Kaggle Master credentials, or published research. Ready to help shape the future of LLM agents? Apply now and join us at the frontline of AI innovation . Send your CV More ❯

training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate with senior leadership team to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest … improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a More ❯

training, and integrating machine learning models into real-world systems, contributing to projects that have immediate business impact. Key Responsibilities Collaborate with senior leadership team to build ML/AI models. Perform data wrangling, cleaning, and feature engineering on varied datasets. Help deploy machine learning pipelines and support integration into production. Evaluate model performance and suggest … improvements. Keep up with advancements in AI/ML to contribute fresh ideas to the team. Skills and Experience: Degree in Computer Science, Artificial Intelligence, Data Science, or a related field. Understanding of machine learning algorithms and model evaluation techniques. Strong analytical and communication skills. Comfortable working in a collaborative environment and taking feedback. Desirable: MSc in a More ❯

You'll Be Delivering Collaborate with clients to identify business challenges and AI opportunities. Design and develop AI models and algorithms to meet client needs. Provide technical expertise in machine learning, NLP, and computer vision. Conduct data analysis and preprocessing for model training. Deploy AI models into production environments and monitor performance. Offer training and support on AI … tools and best practices. Stay current with the latest AI and machine learning advancements. What You'll Bring Proven experience in AI and machine learning with a strong project portfolio. Proficiency in Python, R, or Java. Familiarity with AI frameworks and libraries. Strong analytical and problem-solving skills. Excellent communication and interpersonal abilities. Experience with cloud More ❯

Pro platform with innovative Data Science and Machine Learning solutions, utilizing the most advanced NLP Generative AI models. This role presents a unique opportunity for hands-on ML/NLP/Gen AI/LLM scientists and engineers to advance to the next step in their career journey and apply their technical expertise in NLP, deep learning … technical subjects Requirements and Skills Master's or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or a related field. 6+ years of professional experience in Data Science/Machine Learning/Quant, including in the Financial Services sector Hands on project lifecycle experience, from business requirements gathering to testing production release Strong coding experience in Python to … predictive task involving text Ability to quickly acquire new technical skills Experience of working with large and complex data sets and distributed computing Good understanding of mathematical foundations of Machine Learning approaches Able to translate business problems into problems that can be solved with Data Science Strong communication and data science project leadership skills Hybrid - 2 days a More ❯

o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering … delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of … on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable More ❯

o Strong understanding of intricate business challenges and translation into technical problem statements. o Working with diverse datasets, both internal and external. o Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact. Provide hands-on technical mentorship and guidance to junior and mid-level data scientists, fostering … delivery. Key Technical Skills: Exceptional proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction. Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures. Practical experience with, or demonstrable capability for, applications of … on cloud platforms Impact and Achievements: As a Principal Data Scientist, your success will be measured by your ability to: Pioneer the development and robust deployment of highly impactful machine learning and AI-driven solutions, directly contributing to significant commercial value, quantifiable business growth, or efficiency gains across the organization. Translate complex data science insights into tangible, measurable More ❯

Infrastructure, they are now investing heavily in AI. Your new role.. You’ll be designing, developing and delivering training programs focused Conversational AI. You’ll be crafting interactive, engaging learning experiences for your participants, conducting hands-on workshops and training sessions. As an AI evangelist, you’ll ensure you’re up to date with all the latest advancements in … learning and natural language processing tech. What you’ll bring... You’ll have excellent prior experience in creating and delivering engaging training modules across either Generative AI, ML or Conversational AI. Experience delivering technical training to diverse audiences, ideally within a corporate or academic setting. Strong experience across AI and ML (Machine Learning). Technical knowledge … of Python and other AI/ML frameworks. The ability to simplify complex concepts for learners. Salary and benefits Salary is £50,000 basic. The role is hybrid – 2 or 3 days a week in central London and other days WFH. Benefits include – private health and dental care, 25 days holiday, birthday leave, life assurance x4 your salary, 100s of More ❯