101 to 125 of 232 Machine Learning Jobs in Central London

reliable and secure data environments. Present architectural solutions and roadmaps to senior stakeholders and technical leadership. Innovation & Strategy Stay current with emerging trends in cloud data services, AI/ML integrations, and data governance. Contribute to the cloud data strategy and roadmap, identifying opportunities for automation, cost optimization, and innovation. Required Qualifications 6–10 years of experience in data architecture More ❯

reliable and secure data environments. Present architectural solutions and roadmaps to senior stakeholders and technical leadership. Innovation & Strategy Stay current with emerging trends in cloud data services, AI/ML integrations, and data governance. Contribute to the cloud data strategy and roadmap, identifying opportunities for automation, cost optimization, and innovation. Required Qualifications 6–10 years of experience in data architecture More ❯

platforms ( AWS/Azure ). Evaluate and implement emerging technologies within the SAP ecosystem to drive business value. Champion innovation by aligning SAP’s evolving roadmap (e.g., AI/ML, Sustainability, Digital Manufacturing) with business priorities. Maintain strong working knowledge of SAP extensibility frameworks , event-driven architectures , and API-led integrations . Requirements 2–3 full lifecycle S/4HANA More ❯

platforms ( AWS/Azure ). Evaluate and implement emerging technologies within the SAP ecosystem to drive business value. Champion innovation by aligning SAP’s evolving roadmap (e.g., AI/ML, Sustainability, Digital Manufacturing) with business priorities. Maintain strong working knowledge of SAP extensibility frameworks , event-driven architectures , and API-led integrations . Requirements 2–3 full lifecycle S/4HANA More ❯

Senior ML Platform Engineer London AI Start-up up to £175,000 + Shares + Private Healthcare + Pension Were working with a well-funded AI start-up in London thats gearing up for huge growth. Theyre expecting to scale 10x over the next 18 months. Theyre now looking for their first ML Engineer, someone who can build out and … own the foundations of their ML and cloud environment as the business scales. Youll be reporting directly into the CTO and working closely with the ML research team, so this is a real chance to make your mark in a company at the forefront of applied AI. The role This isnt your average ML infrastructure role - it sits right at … the intersection of cloud engineering and machine learning. Youll be building out ML nodes, training models, optimising training workloads in PyTorch, and deploying them across containerised environments with Kubernetes and Docker. As the go-to person for ML and cloud, youll design and manage scalable, GCP environments, and set up the CI/CD pipelines that enable rapid ML More ❯

the tools and resources our customers need to solve real-world challenges and transform industries, without massive infrastructure costs or the need to build large in-house AI/ML teams. Our employees work at the cutting edge of AI cloud infrastructure alongside some of the most experienced and innovative leaders and engineers in the field. Where we work Headquartered … and competitor hiring practices. Identify the best companies to target for top-tier technical talent. We expect you to have: 4+ years of experience in technical recruitment, specializing in ML engineering, ML Ops, ML Platform Engineers, systems engineers, GPU Strong sourcing expertise and familiarity with tech talent pools, platforms, and communities. Deep understanding of tech subject areas, developers’ roles, technologies … work environment that values initiative and innovation. We’re growing and expanding our products every day. If you’re up to the challenge and are excited about AI and ML as much as we are, join us More ❯

pioneering biotech, pharma, and AI-driven healthcare companies. About the Computational Sciences Division This is one of HLX’s fastest growing and highest billing teams, focusing on AI and Machine Learning in drug discovery- a high demand, high value market. You’ll work on senior hires, long-term team builds, and partnerships with cutting-edge TechBio companies, from … As a consultant, you will: Drive business development and attend client meetings across the US Partner with biotech and pharma companies to meet hiring needs Place candidates into top ML/AI drug discovery teams Build and grow client relationships Identify and engage top talent in computational biology, AI/ML, and life sciences Collaborate with senior recruiters on high … sales or recruitment experience (preferred, not essential) Proven track record in a fast-paced, target-driven environment Strong communication and relationship-building skills Resilient, proactive mindset with a fast-learning attitude Interest in technology, AI, and drug discovery What we offer: Competitive salary + uncapped commissions (up to 25%) Quarterly bonuses and incentive trips (Dubai, Ibiza, Miami...) Unlimited holiday More ❯

pioneering biotech, pharma, and AI-driven healthcare companies. About the Computational Sciences Division This is one of HLX’s fastest growing and highest billing teams, focusing on AI and Machine Learning in drug discovery- a high demand, high value market. You’ll work on senior hires, long-term team builds, and partnerships with cutting-edge TechBio companies, from … As a consultant, you will: Drive business development and attend client meetings across the US Partner with biotech and pharma companies to meet hiring needs Place candidates into top ML/AI drug discovery teams Build and grow client relationships Identify and engage top talent in computational biology, AI/ML, and life sciences Collaborate with senior recruiters on high … sales or recruitment experience (preferred, not essential) Proven track record in a fast-paced, target-driven environment Strong communication and relationship-building skills Resilient, proactive mindset with a fast-learning attitude Interest in technology, AI, and drug discovery What we offer: Competitive salary + uncapped commissions (up to 25%) Quarterly bonuses and incentive trips (Dubai, Ibiza, Miami...) Unlimited holiday More ❯

and regulatory intelligence. They offer organisations the business information and analytics they need to make better, more impactful decisions. Currently they're building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. As a Graduate Sales Development Representative, your role will be to help continue the More ❯

and regulatory intelligence. They offer organisations the business information and analytics they need to make better, more impactful decisions. Currently they're building powerful new decision tools that use machine learning, natural language processing, visualisation and artificial intelligence that aid and enhance decision making. As a Graduate Sales Development Representative, your role will be to help continue the More ❯

experimentation and deployment. Ensure compliance with relevant data protection, governance, and security standards (e.g. ISO 27001, AI governance). What We’re Looking For Strong technical grounding in AI, machine learning, and solution architecture. Experience implementing or scaling AI tools such as Copilot, LLM integrations, or automation platforms. Proven ability to deliver technology solutions in complex, regulated industries More ❯

experimentation and deployment. Ensure compliance with relevant data protection, governance, and security standards (e.g. ISO 27001, AI governance). What We’re Looking For Strong technical grounding in AI, machine learning, and solution architecture. Experience implementing or scaling AI tools such as Copilot, LLM integrations, or automation platforms. Proven ability to deliver technology solutions in complex, regulated industries More ❯

footballers’ legs. Ki’s mission is simple. Digitally disrupt and revolutionise a 335-year-old market. Working with Google and UCL, Ki has created a platform that uses algorithms, machine learning and large language models to give insurance brokers quotes in seconds, rather than days. Ki is proudly the biggest global algorithmic insurance carrier. It is the fastest More ❯

production, and case management within Relativity. Responsible for the successful end-to-end delivery of eDiscovery projects, including processing data, creating productions for disclosure/investigation, leveraging TAR and machine learning functionality, GenAI solutions, Early Case Assessment tools and case management tools. Keep up to date with developments by attending seminars/presentations on relevant services and technology More ❯

key role to developing firms AI strategy and roadmap. Develop and implement Data Science and analytics use cases aligning Business priorities. Design and deploy predictive models and AI/ML prototypes Buils robustand interpretable models for forcasting, clustering and optimisation. Act as the Lead on solution design and prototyping of advanced analytics solutions. Enable good governance principles across analytics delivery. More ❯

Strong strategic mindset and stakeholder collaboration skills Excellent management capability Strong commercial ability 7+ years in data/AI roles, with 5+ years in leadership Ability with Python, SQL, ML frameworks (TensorFlow, PyTorch) Deep knowledge of LLMs, forecasting, and modern data stacks Background in data insights, media or trend forecasting is a bonus Why apply? You'll join a high More ❯

Contribute to reusable AI assets, workflows, and best practices within the organisation Essential Skills Proven experience developing and automating AI solutions with Microsoft Copilot Studio Understanding of AI/ML models , data science principles, and orchestration of agentic workflows Familiarity with the Microsoft Power Platform (Power Automate, Power Apps, Dataverse) Experience applying Generative AI and prompt-engineering techniques Awareness of More ❯

Contribute to reusable AI assets, workflows, and best practices within the organisation Essential Skills Proven experience developing and automating AI solutions with Microsoft Copilot Studio Understanding of AI/ML models , data science principles, and orchestration of agentic workflows Familiarity with the Microsoft Power Platform (Power Automate, Power Apps, Dataverse) Experience applying Generative AI and prompt-engineering techniques Awareness of More ❯

to copyright and IP challenges. The Product Manager must have: Proven product management experience in SaaS, platforms, or data-driven products. Strong knowledge of data exchange, APIs, AI/ML and how they underpin product development. Analytical, customer-obsessed, and able to simplify complexity into clear product decisions. Comfortable working closely with engineers, data specialists, and cross-functional teams. Excellent More ❯

to copyright and IP challenges. The Product Manager must have: Proven product management experience in SaaS, platforms, or data-driven products. Strong knowledge of data exchange, APIs, AI/ML and how they underpin product development. Analytical, customer-obsessed, and able to simplify complexity into clear product decisions. Comfortable working closely with engineers, data specialists, and cross-functional teams. Excellent More ❯

especially Data Factory, Synapse, Databricks, and Azure Functions. Proficiency in Python, SQL, and data transformation techniques. Experience working with both structured and unstructured data sources. Understanding of AI/ML data requirements and how to prepare data for intelligent systems. Based in or near London, with the ability to be onsite once a week. Why Join Us? Be part of More ❯

expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder engagement, and team development capabilities. Excellent problem-solving, communication, and presentation skills. Location: London Please note, our client is More ❯

expertise with modern data stack tools (e.g., cloud data platforms, dbt, orchestration tools). Strong understanding of data governance, quality, and compliance in regulated environments. Familiarity with AI/ML technologies and their real-world application in finance. Proven leadership, stakeholder engagement, and team development capabilities. Excellent problem-solving, communication, and presentation skills. Location: London Please note, our client is More ❯

will bring: 8+ years of experience selling IT services, solutions, or consulting engagements. Demonstrable expertise in solution or consulting-led selling, preferably in areas such as: AI-driven solutions (ML models, automation, intelligent data extraction, knowledge graphs, etc.) Data engineering and modernization (data migration, cloud, integration, governance, analytics platforms). Custom software development and digital transformation projects. Strong experience in More ❯

will bring: 8+ years of experience selling IT services, solutions, or consulting engagements. Demonstrable expertise in solution or consulting-led selling, preferably in areas such as: AI-driven solutions (ML models, automation, intelligent data extraction, knowledge graphs, etc.) Data engineering and modernization (data migration, cloud, integration, governance, analytics platforms). Custom software development and digital transformation projects. Strong experience in More ❯