126 to 150 of 2,082 Machine Learning Jobs in the UK

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

programme and get a job or get your course fees back. Our programme includes: • Official AWS Certified Cloud Practitioner certification • Training in Python, Machine Learning, and AI systems • Hands-on projects using real-world AI tools and technologies • Professional CV and LinkedIn support • Interview preparation • Dedicated recruitment support … cost of your training over 12 months so you can get qualified without financial pressure. Salary expectations: • AI Engineer: £45,000 – £60,000 • Machine Learning Engineer: £60,000 – £75,000 • Progression into senior AI roles with higher earning potential We support you into employment ITOL Recruit has over ...

years, placing 4 people with them, and all 4 are still with the company. Our client is a rapidly growing AI and Machine Learning company, specialising in the research, development and deployment of advanced technology into Defence, security, intelligence and adjacent sectors. Their team includes highly experienced software … developers, data scientists, Machine Learning specialists and researchers, with strong academic, research and Defence backgrounds. They are now looking for a Senior Business Development Manager in Defence to join their senior team and help drive their next phase of growth. This is an excellent opportunity for an experienced ...

seeking a Staff Machine Learning Engineer with 8+ years of experience to lead the design and delivery of production AI/ML solutions across Fitch Group. You will set technical direction, lead complex initiatives, and collaborate with product squads, business partners, and cross-functional teams to integrate advanced … capabilities into flagship products and workflows. The AI Implementation Team focuses on: Implementing AI/ML technology in collaboration with business partners and product squads Developing and supporting enterprise-level AI exploration tools and capabilities Providing guidance for efficient and secure development and deployment of AI What We Offer ...

team's ability to connect Finance domain expertise with specialized data and machine learning capabilities, enabling Finance to translate its AI and ML objectives into scalable solutions. The successful candidate will combine strong engineering and people leadership with Finance domain knowledge and experience across enterprise planning platforms, custom … software development, SaaS solutions, integration architectures, data, and AI/ML technologies. What you'll be doing: Finance Systems Leadership & Business PartnershipLead multidisciplinary teams responsible for planning and forecasting platforms, custom Finance solutions, and Finance-related SaaS applications. Partner with Finance leaders to understand business priorities and translate Finance transformation ...

Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation … will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will ...

Learning, Data Science and Experimentation efforts, reporting to the Vice President of Engineering. You will play a pivotal role in shaping our ML and AI strategy and ensuring we leverage our data assets to their full potential to drive growth and competitive advantage. This spans the personalization, recommendation … will run your organization as a hub-and-spoke: a strong central team that owns talent, craft standards, career growth, tooling, and long-horizon ML strategy, with scientists deployed close to the product areas they serve so delivery stays fast and grounded in real business context. You will ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong full-stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Strong awareness of the main process modeling approaches … mechanistic and first-principles models, hybrid models, data-driven and ML models, and process simulation), enough to work with process modelers, understand what each approach needs, and spot where AI can make it 10x more efficient. Deep experience in building mechanistic models is not expected. Strong AI modeling skills, including ...

seeking professionals with the following required skills and qualifications to help us achieve our goals: Strong full-stack or AI/ML engineering experience, including production deployments. Strong proficiency in Python and at least one of TypeScript/JavaScript, Go, or similar. Strong awareness of the main process modeling approaches … mechanistic and first-principles models, hybrid models, data-driven and ML models, and process simulation), enough to work with process modelers, understand what each approach needs, and spot where AI can make it 10x more efficient. Deep experience in building mechanistic models is not expected. Strong AI modeling skills, including ...

Reference: BH-237156 Machine Leaning Engineer 735 per day – Inside IR35 London/2 days a week on site 2 years My client is an instantly recognisable consultancy who require a Machine Learning Engineer for a business-critical programme. Key Responsibilities: Design, train, and optimise machine … robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline ...

deliver enterprise AI solutions responsibly, reliably, and securely. ResponsibilitiesResponsibilities & What Type of Work to Expect: Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance. Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation … modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications. Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance. Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when ...

deliver enterprise AI solutions responsibly, reliably, and securely. ResponsibilitiesResponsibilities & What Type of Work to Expect: Support the development, testing, and integration of AI/ML models, LLM integrations, intelligent services, or data retrieval pipelines under guidance. Assist with data collection, preprocessing, transformation, and validation to support model training, testing, evaluation … modern AI systems, including LLM APIs, prompt-based interactions, retrieval patterns, AI powered tools, or generative AI applications. Ability to support AI/ML development, testing, documentation, integration, or data pipeline activities under guidance. Awareness of responsible AI expectations, including reliability, safety, governance, security, privacy, compliance, and appropriate escalation when ...

attention to access control and audit needs. Familiarity with product discovery methods (problem framing, value definition, iterative MVP delivery).Experience with analytics, AI, or machine learning enablement within production applications. The salary for this position is expected to range between $160,300 and $297,700 per year. … Curious Mindset, Data Governance, Data Literacy, Data Quality, Data Science, Data Visualization, Deep Learning, Graph Algorithms, Learning Agility, Machine Learning (ML), Machine Learning Algorithms, Nlp (Neuro-Linguistic Programming) And Genai (Inactive), Organization Awareness (Inactive), Pandas (Python) (Inactive), Python (Programming Language), R Programming, Stakeholder Engagement ...

software to achieve higher TRLs suitable for deployment in the \n National Security Domain. \n • System Integration: Design and manage the integration of ML models into \n broader software architectures, ensuring stability and performance. \n • Edge Optimization & Deployment: Adapt and optimize machine learning \n models for resource-constrained … maintainable and scalable. \n Skills & Experience \n • Technical Expertise: Broad technical expertise in machine learning, \n demonstrating a deep understanding of ML algorithms, frameworks, and \n software engineering best practices. \n • Model Maturation: Proven experience in taking research-grade AI/ML code \n and maturing it into ...

optimise recommendation systems (e.g. personalised product recommendations, ranking, search optimisation) Collaborate with data scientists, engineers, and product stakeholders to translate business requirements into ML solutions Implement and maintain MLOps pipelines to support continuous integration, delivery, and monitoring of models Ensure scalability, performance, and reliability of ML systems within Azure cloud … datasets to extract insights and improve model accuracy Monitor model performance and retrain models to maintain effectiveness over time Contribute to best practices in ML engineering, deployment, and governance YOUR KEY SKILLS: Strong experience as an ML Engineer in a production environment Proven expertise with Azure Hands-on experience implementing ...

Lead Data Science ConsultantPermanent or ContractQuant Capital is urgently looking for Data Scientist/Machine Learning Consultant to join our high profile client. My client is a well known financial software house, providing platforms and consultancy to the financial and insurance space. The Data Science Consultant is responsible … what it does)Present data from various unclean sourcesCommunicating innovative data-centric solutions and providing strong architectural designs to develop a workable solution. Machine Learning ConsultancyDocumentingProvide expertise on Data management capabilities. Analyse and model data concepts across the enterprise. Consulting on the necessary data architecture, elaborating the requirements ...

LEAD ML ENGINEERING MANAGER £125,000 + BONUS LONDON This is an exciting opportunity to join one of the UK's leading fintech scale-ups in a role where Machine Learning sits at the heart of the business. You'll lead a growing ML Engineering function while remaining … they've helped fund hundreds of thousands of businesses globally. Following continued investment into Data and Engineering, they're now looking for a senior ML leader to scale their Machine Learning Engineering capability. THE ROLE Lead and mentor a team of ML Engineers whilst remaining technically hands ...

collaborate with Frontier Labs to reinforce our leadership in practical, high-stakes AI safety. What you'll be doing: Building and deploying production-grade ML software, tools, and infrastructure. Creating reusable, scalable solutions that accelerate the delivery of ML systems and capability testing of Frontier AI models. Collaborating with engineers … implementing Faculty's standards for deploying machine learning at scale. Acting as a technical advisor to customers and partners, translating complex ML concepts for stakeholders. Who we're looking for: You are comfortable building LLM applications, and are familiar with multi-agent harness tooling and AI Safety evaluation ...

specialists who develop novel AI solutions to mission focussed problems. In this role you will be responsible for the technical development of AI/ML projects, working alongside more senior members of the team, supporting projects from initial idea scoping right through to final project delivery both in customer … team, with some guidance and direction from seniors. Bring experience in developing and delivering data-centric solutions. Undertake research and applied AI/ML tasks on both customer and internal research projects. Work with autonomy on assigned tasks within project groups. Generate ideas for new research directions. Deliver AI/ ...

looking for? The ideal candidate will have the following skills and experience: Expert knowledge of Natural Language Processing or a related area of machine learning, through academic or industry experience (or both)Familiarity with the many recent, exciting advances in NLP and generative AI, in particular adapting LLMs … subject, such as machine learning, computer science, mathematics, statistics, physics or engineeringPublication at leading NLP conferences such as ACL and EMNLP, and ML conferences, such as NeurIPS and ICML, are highly desirableAn interest in applying NLP concepts to real world financial data and implementing theoretical insights as working ...

Months Location: Hybrid/Remote An opportunity for an experienced Machine Learning Engineer to join a growing data team delivering innovative ML solutions. You'll work closely with stakeholders to develop, deploy, and optimise machine learning models that drive business outcomes. Key Responsibilities Design, build … with Data Scientists, Engineers, and Product teams. Support model testing, validation, and deployment. Key Skills Strong Python and SQL skills. Experience building and deploying ML models in production. Hands-on knowledge of machine learning frameworks (Scikit-learn, TensorFlow, PyTorch). Data engineering and pipeline development experience. Cloud experience ...