276 to 300 of 1,842 Machine Learning Jobs in London

workplace that emphasizes personal well-being. Role Are you an aspiring data scientist with a strong foundation in statistical modelling, programming, and business problem-solving? Do you thrive on learning fast, solving real-world problems, and making an impact from day one? We’re looking for a Junior Machine Learning Engineer on a 6 months fixed term … contract with a growth mindset and a solid grasp of data science fundamentals to join our world-class team at RAPP. You’ll support senior team members in delivering machine learning and advanced analytics solutions for global brands like Ralph Lauren, KFC, and Mercedes. This role is perfect for someone at the start of their career who is … technical. Learn quickly and continuously – from new tools and techniques to client domains and business challenges. What You’ll Bring Must-Have: A strong foundation in statistics, probability, and machine learning fundamentals – either through a STEM degree, formal training, or self-study. Fluency in Python and SQL, including experience with libraries like Pandas, Scikit-learn, or equivalent. Demonstrated More ❯

You'll Do You will be responsible for designing, building, and maintaining our data infrastructure to ensure the reliability and efficiency of our data and systems used by our Machine Learning team. Your role will include creating and maintaining data pipelines that transform and load data from various products and managing the AWS infrastructure for our machine learning platform. Additionally, you will work with engineers, product managers, and data scientists to design and implement robust and scalable data services that support Epic's mission while ensuring our user’s privacy. In this role, you will Interact with product teams to understand how our safety systems interact with their data systems. Design and implement an automated … end-to-end ETL process, including data anonymization, to prepare data for machine learning and ad hoc analysis. Manage and scale the tools and technologies we use to label data running on AWS. Devise database structure and technology for storing and efficiently accessing large data sets (millions of records) of different types (text, images, videos, etc.). Use More ❯

bring together chemists, physicists, engineers, and machine learning experts to push the boundaries of what's possible in early-stage drug discovery. The Role As a Senior ML Software Engineer in the DH Team, you will focus on building and scaling the platform-facing product that manages the full lifecycle of Aqemia's predictive models, our core scientific … assets. You'll scale and industrialize ML/deep learning models developed by research scientists, so they can be efficiently served to our Drug Hunter community. You will play a critical role in the development, deployment, and maintenance of single predictors, ensuring they are robust, reproducible, and seamlessly integrated into the platform that drives our drug discovery engine. This … role is deeply technical and foundational to our platform's performance, reliability, and scalability. What you'll do Design and implement ML product and infrastructure to support the training, evaluation, deployment, and versioning of predictive modelsIndustrialize and optimize ML/deep learning models developed by scientists, making them scalable and cost-efficient in production Collaborate closely with scientists to More ❯

Senior Consultant - AI/ML and Generative AI, Professional Services GCC 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 business objectives. You … 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 … to-end Machine Learning, Deep learning and Generative AI solutions, from conception to deployment - Experience in advising, defining and applying best practices, evaluating alternative and complementary ML and foundational models suitable for given business contexts - Experience in data modeling, statistical analysis methodologies, and demonstrated ability to extract meaningful insights from complex, large-scale datasets - Experience in mentoring More ❯

About the role We are looking for a Senior Machine Learning Engineer to join our AI team and help us build cutting-edge legal solutions for some of the world's largest law firms. In this role, you will leverage your deep expertise in machine learning, natural language processing, and large language model (LLM) agents to … Retrieval-Augmented Generation (RAG) and Knowledge Graphs - to enhance our core product and explore new use cases. Cross-Functional Collaboration: Work closely with cross-functional teams to integrate advanced ML models and NLP solutions into our platform, ensuring they align with business objectives and provide tangible value. Strategic Innovation: Stay current with the latest trends and breakthroughs in NLP, machine learning, and multi-agent systems, and contribute ideas that shape the strategic direction of our AI initiatives. About You Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Cloud & Containerization Skills: Experience with the AWS cloud platform and containerization technologies More ❯

Join the Barclays Global Markets team in London as an AI/ML Modeller and where you'll play a crucial role in building a new AI/ML capability and we're doing it with start-up energy: lean, collaborative, and relentlessly focused on impact. We're looking for technically exceptional, intellectually curious individuals who thrive on solving complex … and deliver high-quality, scalable solutions. But above all, we value curiosity, creativity, and a willingness to challenge the status quo. You will be responsible to build and productionize Machine Learning models across asset classes, apply advanced techniques in Machine Learning, statistics, and applied mathematics using Python (PyTorch or similar) and work hands-on with cloud … to scale solutions fast. Essential Skills: Master's degree in a Science, Technology, Engineering and Mathematics (STEM) field (PhD preferred). A proven record of a strong foundation in Machine Learning, data science, and software engineering. Demonstrated success and passion for crafting solutions that are both technically rigorous and operationally effective. Champions a collaborative mindset and a drive More ❯

Lead ML Engineer - UAV Defence Scale-up - London Darwin Recruitment have partnered exclusively with a true leader in the Autonomous UAV sector across Europe. We've already helped them to scale-up their AI teams and they are not slowing down! They now have a fantastic opportunity for a Lead Machine Learning Engineer to lead a growing team … of Engineers with the focus of designing, developing and deploying ML models that underpin their real time intelligence UAV solutions. This will (at least initially) be a 50/50 hands on vs leadership/strategy role. Previous tech/team leadership of small to medium size teams is a MUST. Flat structure without all the politics that get in … at the table and influence strategic decision making. Experience of Interest: Bachelors, Masters or PHD in Computer Science, Engineering, Robotics or similar. Industry experience of ideally 5+ years within ML development and deployment. Tech & Team leadership of small to medium size teams. Experience of the UAV/Drone/Autonomous Systems sector. Python, C++, Java or Rust. TensorFlow, TensorFlow Lite More ❯

As an AI Engineer, you will design, build, and deploy machine learning models and intelligent systems that drive our products. You'll collaborate closely with data scientists, product teams, and software engineers to deliver AI solutions that are scalable, reliable, and innovative. Key Responsibilities Develop, train, and deploy machine learning and deep learning models for … new ideas into our tech stack. Contribute to engineering best practices, code reviews, and technical documentation. What We're Looking For 3+ years of experience working on AI/ML systems in production environments. Proficiency in Python and ML frameworks like TensorFlow, PyTorch, scikit-learn. Experience designing and deploying models using cloud platforms (AWS, GCP, or Azure). Solid understanding More ❯

for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities • Collaborate … with Applied Scientists to implement ML/LLM solutions that meet business goals • Conduct product pilots demonstrating customer obsession and innovation • Develop scalable solutions by writing high-quality code, building ML/LLM models using current research breakthroughs and implementing performance optimization techniques • Act as a bridge between science and software teams to deliver optimized solutions • Communicate technical concepts to … written and verbal communication skills - Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. PREFERRED QUALIFICATIONS - Master's degree with specialization in ML, NLP or Computer Vision preferred - 1+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored More ❯

Business Research Analyst - II, RBS Returns Reduction As a Research Analyst, you'll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. … You'll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Key job responsibilities • Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements • Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product … roadmap • Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry • Coordinate design efforts between Sciences and Software teams to deliver optimized solutions • Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. More ❯

Degree) or 7 (Postgraduate) Location: Hybrid (London-based) Job Purpose The AI Engineer Apprenticeship is an advanced, hands-on training programme designed for individuals passionate about artificial intelligence and machine learning. Whether you are a recent graduate or in your final year of studies, this role offers the opportunity to work alongside seasoned AI engineers, data scientists, and product … for training and evaluation. Support the design, development, and tuning of machine learning and deep learning models. Contribute to scalable and reusable data pipelines using modern ML workflows. Conduct experiments and benchmarking exercises to test model performance. Perform error analysis, feature importance, and other model diagnostics. Track and log training/testing outcomes to support reproducibility and … degree (completed or ongoing) in Computer Science, Data Science, Mathematics, Software Engineering, or a related STEM field. Eligibility to enroll in a Level 6 or Level 7 AI/ML/Data Science apprenticeship programme. Core Skills & Competencies Technical Skills Programming proficiency in Python and common ML libraries such as TensorFlow, PyTorch, or similar. Experience with Jupyter Notebooks and version More ❯

Business Research Analyst-II, RBS Size/Fit As a Research Analyst II (RA), you'll collaborate with experts to develop GenAI, LLM and ML solutions for business needs. You'll drive product pilots, demonstrating innovative thinking and customer focus. You'll build scalable solutions, write high-quality code, and develop state-of-the-art LLM models. You'll coordinate … LPs to steer the product roadmap • Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry • Coordinate design efforts between Sciences and Software teams to deliver optimized solutions • Ability to thrive in an ambiguous, uncertain and … fast moving ML usecase developments. • Mentor Junior Research Analyst (RAs) and contribute to RA hiring About the team The RBS Size & Fit program is a global initiative aimed at solving customer pain points related to size and fitment across Amazon's worldwide non-media catalog. Our vision is to enable customers to confidently shop the right size, every single time More ❯

the entire delivery lifecycle—from design and development to testing, deployment, and ongoing support. You will work across the full machine learning workflow, applying advanced analytics and ML techniques to extract structured insights from complex insurance submission documents, conduct exposure analytics, and model asset behaviour for the commercial insurance market. Responsibilities Design, build, and deploy machine learning … in version control, testing, CI/CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need to be able to demonstrate … all the skills, you have a passion and willingness for learning. Here’s what the teams will be looking for: 3–5 years of professional experience in data science ML, or applied AI role Strong problem-solving and analytical skills with the ability to approach complex technical challenges independently Proven experience in building, deploying, and maintaining ML models in production More ❯

the entire delivery lifecycle—from design and development to testing, deployment, and ongoing support. You will work across the full machine learning workflow, applying advanced analytics and ML techniques to extract structured insights from complex insurance submission documents, conduct exposure analytics, and model asset behaviour for the commercial insurance market. Responsibilities Design, build, and deploy machine learning … in version control, testing, CI/CD, and MLOps Share expertise through peer code reviews, documentation, and collaborative learning initiatives Stay current with emerging trends in AI/ML, particularly in areas such as LLMs, NLP, and intelligent document automation What skills and experience will I need to bring with me? You’ll need to be able to demonstrate … all the skills, you have a passion and willingness for learning. Here’s what the teams will be looking for: 3–5 years of professional experience in data science ML, or applied AI role Strong problem-solving and analytical skills with the ability to approach complex technical challenges independently Proven experience in building, deploying, and maintaining ML models in production More ❯

Our Team? "You'll have the chance to build large-scale data pipelines moving billions of data points daily in real-time, and develop, deploy and utilise cutting-edge ML models, empowering you to thwart those cyber villains and safeguard businesses and individuals alike. As a company that is well-established and committed to growth, we are actively expanding our … ML team with a Principal Data Engineer - Machine Learning role which is amongst the most senior roles in the team, directly reporting to the Director of Data Science. Join us on this exhilarating journey, where you'll shape the future of cybersecurity by developing large-scale data products for ML models that push the boundaries of innovation and … the implementation of real-time data pipelines which transport billions of data points per day, with strong traffic variations around peak hours Design and deploy state-of-the-art ML (predominantly NLP and voice recognition) models that are optimised for both accuracy and throughput Transform prototypes into production-ready data and ML applications that meet throughput and latency requirements Deploy More ❯

Scientist to drive the development and integration of advanced machine learning tools into scalable healthcare solutions. You will collaborate with engineering and research teams to design robust ML workflows, improve infrastructure, and ensure production-grade deployment of AI systems. This is an ideal role for someone passionate about using technology to solve real-world healthcare challenges. Key Responsibilities … Research and prototype innovative AI technologies aimed at improving system performance and clinical efficiency Enhance ML development workflows with tools for model tracking, experiment management, and reproducibility Apply data science techniques to extract insights from complex and varied data sets Plan and manage infrastructure for model training and deployment Develop systems for monitoring ML models in production environments Build and … Requirements: Degree in Computer Science, Software Engineering, or a related technical discipline Minimum 5 years of industry experience or a PhD in a relevant area Strong theoretical foundation in ML, deep learning, and computer vision Proficient in Python and common ML frameworks such as PyTorch Hands-on experience with MLOps platforms and tools (experience with ClearML is beneficial) Familiarity More ❯

Scientist to drive the development and integration of advanced machine learning tools into scalable healthcare solutions. You will collaborate with engineering and research teams to design robust ML workflows, improve infrastructure, and ensure production-grade deployment of AI systems. This is an ideal role for someone passionate about using technology to solve real-world healthcare challenges. Key Responsibilities … Research and prototype innovative AI technologies aimed at improving system performance and clinical efficiency Enhance ML development workflows with tools for model tracking, experiment management, and reproducibility Apply data science techniques to extract insights from complex and varied data sets Plan and manage infrastructure for model training and deployment Develop systems for monitoring ML models in production environments Build and … Requirements: Degree in Computer Science, Software Engineering, or a related technical discipline Minimum 5 years of industry experience or a PhD in a relevant area Strong theoretical foundation in ML, deep learning, and computer vision Proficient in Python and common ML frameworks such as PyTorch Hands-on experience with MLOps platforms and tools (experience with ClearML is beneficial) Familiarity More ❯

help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of … solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant More ❯

help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of … solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant More ❯

company. They are expanding their team and hiring a Senior Data Scientist to own technically rich projects, mentor junior team members, and drive the development of scalable, production-ready machine learning models. This role suits someone who is not only technically strong, but solution-oriented, strategically minded, and able to communicate insights clearly to both technical and non … technical audiences. Requirements: Advance Python (Pandas, NumPy, Scikit-learn, TensorFlow, and PyTorch) & SQL skills. (Snowflake a plus) Experience with Data warehousing and database technologies Solid machine learning experience (modelling to deployment) Cloud exposure (GCP/AWS/Azure) Excellent communication & stakeholder skills Leadership or … mentoring experience in a dynamic/start-up environment Responsibilities: Lead and deliver end-to-end data science projects Mentor and support junior data scientists Build and deploy scalable ML models Translate complex data into strategic insights Collaborate across teams to integrate data-driven solutions If you're ready to take a lead role in building data science that scales More ❯

Acceleration Analytics team is looking for an analytical and technically skilled individual to join our team. In this role, you will invent, build and deploy state of the art machine-learning models and systems to enable and enhance the team's mission This role offers wide scope, autonomy, and ownership. You will work closely with software engineers & data … be capable of working both independently and with others as a team. Key job responsibilities We are looking for an experienced data scientist with strong foundations in mathematics, statistics & machine learning with exceptional communication and leadership skills, and a proven track record of delivery. In this role, You will Define a long-term science vision and roadmap for … statistical measures such as confidence intervals, significance of error measurements, development and evaluation data sets, etc. PREFERRED QUALIFICATIONS - Experience in Python, Perl, or another scripting language - Experience in a ML or data scientist role with a large technology company Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a More ❯

Gambling and establish a strong culture of data-driven decision-making in our organisation's strategy. We are looking for an experienced MLOps Engineer to support the delivery of ML products. You will work closely with the Data Science team, to understand the data and product requirements. You will also collaborate the Data & Ops team, to stay on top of … key changes that may impact the ML frameworks and to own the release of ML products. We use Azure Databricks as our platform. To be successful in the role, you will need to be experienced in cross-team collaboration to deliver data science projects, whilst promoting best practices. You will be proactive in identifying and communicating data-related issues and … between Data Science and Data & Ops teams. The Data Science department is currently a smaller team, with an ambition to grow, with a mix of a Data Scientists and ML engineers. Therefore, it is an excellent opportunity to grow, contribute and challenge yourself. Core Responsibilities Development and maintenance of the ML data pipeline, with the proper quality controls and contingency More ❯

partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Principal Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains - from manufacturing to customer experience and commercial optimisation. Working closely with a multidisciplinary team, you’ll have the … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance … design choices Communicate findings and strategic insights to both technical and non-technical stakeholders About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not More ❯

partners directly with portfolio companies to drive measurable operational and financial performance—powered by data. They’re now hiring a Principal Data Scientist to lead high-impact analytics and machine learning projects across a wide variety of real-world domains - from manufacturing to customer experience and commercial optimisation. Working closely with a multidisciplinary team, you’ll have the … problems into measurable data science solutions that deliver commercial value Lead the design, development, and deployment of predictive and optimisation models across multiple industries Own the end-to-end ML pipeline: data exploration, feature engineering, modelling, evaluation, and deployment Collaborate with data engineers and MLOps professionals to ensure scalable, production-grade solutions Conduct rigorous A/B testing and performance … design choices Communicate findings and strategic insights to both technical and non-technical stakeholders About You You’re an experienced data scientist with a proven track record of using machine learning to solve real-world business challenges. You’re just as comfortable in Python as you are in a boardroom, and you’re motivated by measurable impact, not More ❯

A specialist data consultancy is seeking a Senior Data Scientist with strong hands-on experience in Machine Learning and Generative AI. This role offers the opportunity to work on high-impact projects across various industries, applying advanced data techniques to solve real-world … business problems. This is an excellent opportunity to join a collaborative team delivering innovative AI and data science solutions for a diverse client base. Role Responsibilities Design and implement ML and Generative AI models to address client challenges Work closely with data engineers and MLOps professionals to deliver production-ready systems Apply techniques such as large language models (LLMs), retrieval … data science and bring fresh ideas to internal and external projects Support a collaborative team culture through knowledge sharing and technical discussions Skills and experience required Proven experience delivering ML and/or Generative AI projects from concept to deployment Hands-on experience with frameworks such as Hugging Face, LangChain, and open-source LLMs Familiarity with tools such as Databricks More ❯