251 to 275 of 470 Machine Learning Jobs in Central London

to enable secure, efficient, and high-performance AI workflows. Your work will ensure data is not just available—but ready for AI at scale. You’ll collaborate closely with ML engineers, software developers, and stakeholders to unlock siloed data, improve compliance, and drive platform reliability. This is your chance to shape the technical foundation behind real-world AI impact in 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 ❯

System Optimisation Engineer | London | Hybrid | Upto £80K DoE Are you an Engineer or recent PhD graduate who has experience in engineering, Optical or AI/ML Systems and test frameworks for the optimisation of AI platforms? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on … the cutting edge of AI and Machine learning technology with applications for increased productivity in Data centres and HPCs. Responsibilities: Design automated test frameworks for optical networks using Python, C++ Develop integrated hardware solutions across network systems using hardware instruments, BERTS, Burst-mode test, and oscilloscopes. Engineer optimisation algorithms as part of the test framework platform and metaheuristic … cross-functional teams of hardware, software, embedded and electronic engineers. Skills: Software scripting and Automation experience using Python, C++, C# Experience in generating and scripting algorithms for AI/ML applications, as well as Metaheuristic optimisation. Understanding of cloud-based environments and data pipelines. Degree in either Computer Science, Electrical/Electronic, or related. What’s in it for you More ❯

System Optimisation Engineer | London | Hybrid | Upto £80K DoE Are you an Engineer or recent PhD graduate who has experience in engineering, Optical or AI/ML Systems and test frameworks for the optimisation of AI platforms? Then this might just be the role for you! We are working with a disruptive London-based Computer Networking company who are working on … the cutting edge of AI and Machine learning technology with applications for increased productivity in Data centres and HPCs. Responsibilities: Design automated test frameworks for optical networks using Python, C++ Develop integrated hardware solutions across network systems using hardware instruments, BERTS, Burst-mode test, and oscilloscopes. Engineer optimisation algorithms as part of the test framework platform and metaheuristic … cross-functional teams of hardware, software, embedded and electronic engineers. Skills: Software scripting and Automation experience using Python, C++, C# Experience in generating and scripting algorithms for AI/ML applications, as well as Metaheuristic optimisation. Understanding of cloud-based environments and data pipelines. Degree in either Computer Science, Electrical/Electronic, or related. What’s in it for you More ❯

an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real-world deployment, this role is for you. What You Will Do Deploy smaller task-specific models built on top of our offline Foundation Model to run on … to 4 years of experience deploying deep learning models to mobile or edge devices, ideally Android. Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages. Practical experience with mobile inference frameworks such as TensorFlow Lite, ONNX Runtime, or similar tools. Familiarity with GPU acceleration on mobile (e.g., GPU delegates, Vulkan) or ARM-based More ❯

an Edge AI Engineer, you will bridge research and production, ensuring our models are optimised for on-device inference. If you want to operate at the frontier of deep learning and real-world deployment, this role is for you. What You Will Do Deploy smaller task-specific models built on top of our offline Foundation Model to run on … to 4 years of experience deploying deep learning models to mobile or edge devices, ideally Android. Strong proficiency in Python and Java or Kotlin, with experience translating ML code between languages. Practical experience with mobile inference frameworks such as TensorFlow Lite, ONNX Runtime, or similar tools. Familiarity with GPU acceleration on mobile (e.g., GPU delegates, Vulkan) or ARM-based 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 ❯

best practices across the development lifecycle. Architecture & Design: Oversee system architecture decisions, ensuring alignment with business goals and scalability requirements. Mentorship: Mentor and guide junior developers, fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient … Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have the support More ❯

best practices across the development lifecycle. Architecture & Design: Oversee system architecture decisions, ensuring alignment with business goals and scalability requirements. Mentorship: Mentor and guide junior developers, fostering a collaborative learning environment. API Development: Design and build RESTful API endpoints using NodeJS and Express, including detailed API documentation. Database Management: Design, optimize, and maintain complex SQL data models, ensuring efficient … Experience with AWS cloud services, Terraform, Docker, Kubernetes Agile/DevOps: Experience with Agile methodologies, CI/CD pipelines, and project management tools (Jira, Confluence, Bitbucket). AI/ML: Exposure to AI/ML projects or data analytics. Benefits and Perks Our comprehensive offering is designed around flexibility, well-being, and continuous growth, ensuring that you have the support 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 ❯

a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You’ll Do: Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. Build and maintain robust CI/CD pipelines for both software and ML workflows. Ensure reliability, scalability … observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. … procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g. 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 ❯

a future where human well-being is safeguarded while closing the gaps in critical global labour needs. What You’ll Do: Own and manage the full lifecycle of both ML models and core infrastructure - from development and deployment to monitoring and continuous improvement. Build and maintain robust CI/CD pipelines for both software and ML workflows. Ensure reliability, scalability … observability, and security of production systems and ML infrastructure. Automate deployment, orchestration, and environment management using modern DevOps tooling. Collaborate closely with software engineers, data scientists, and product teams to bring ML-powered features to production. Proactively detect, troubleshoot, and resolve infrastructure and model performance issues. Stay up to date with industry best practices in DevOps, MLOps, and infrastructure engineering. … procedures clearly and thoroughly. We’re Looking For: Proven experience in a senior-level DevOps, MLOps, or related infrastructure-focused engineering role. Strong proficiency in Python and familiarity with ML frameworks such as TensorFlow or PyTorch. Deep experience with cloud platforms (AWS, GCP, or Azure) and container orchestration tools (Docker, Kubernetes). Solid understanding of CI/CD systems (e.g. More ❯

IoT and AI products. Backed by top-tier investors and led by experts from large tech companies and Universities, the company is solving complex problems at the intersection of machine learning, infrastructure, and UX. The ideal candidate will have strong experience with AWS, containerisation, CI/CD, and infrastructure for distributed systems, with a passion for building scalable 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 ❯

Passion are the three core values that we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java More ❯

The firm designs and deploys sophisticated trading strategies across, L/S equities, systematic, and global macro. Their success is built on solving complex challenges through advanced statistical modelling, machine learning, and the intelligent use of vast datasets. With AUM over $35bn and a culture that thrives on innovation, collaboration, and intellectual curiosity, this is the place where More ❯

Passion are the three core values that we look for in all our personnel. Who are we looking for: Applicants must be experienced working with the following: Essential Skills : · Machine Learning · SQL Server · Knowledge of Data analysis/Mining/Warehousing · Statistical Analysis · Linear Regression · Database Desired Skills : Experience with any of the following: · Python · Hadoop · R · Java 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 ❯

aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Requirements PhD (or equivalent) in Computer Vision, Machine Learning, or related field. Proven record deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially More ❯

aligned with business goals. Champion Data & MLOps — Maintain high data quality standards and develop scalable automation systems for seamless deployment and experimentation. Requirements PhD (or equivalent) in Computer Vision, Machine Learning, or related field. Proven record deploying large-scale CV models in production. Strong Python skills with PyTorch or TensorFlow expertise. Deep understanding of modern CV architectures, especially More ❯