126 to 150 of 995 Machine Learning Jobs in London

experience in software development and with data structures/algorithms in either C, C++, Python, Java or Go. 5 years of experience with ML design and ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning). 5 years of experience designing, training, and evaluating machine learning … verify or disprove a hypothesis. Ability to empathize with customers’ needs to generate solutions. Responsibilities Drive the creation and execution of experiments across machine learning domains. Assess technical tests and develop practical, testable solutions. Partner with Google Cloud Platform (GCP) product and engineering teams, Google Research ...

data products function. Platform & Innovation: This role is an exciting mix of scalable platform and data product innovation. You will own the ML/LLM platform teams as well as foundational Data Platform and Analytics Engineering teams, ensuring robust, scalable, and governed data access. You will also transform the platform … scale and structure our rich datasets. Partner closely with Data, Applied AI and Engineering leadership to define robust, scalable, and future‐proof data, ML and LLM products. Business Impact: Anchor all technical and expert thinking into clear, tangible business impact, ensuring our data investments drive competitive advantage and deliver measurable ...

+ benefits Do you want to lead a world-class data science function at a high-growth organisation where AI, machine learning and advanced analytics sit at the heart of commercial strategy? We're looking for a Head of Data Science who's passionate about building and scaling … Experience with distributed computing and cloud platforms such as AWS, Azure Synapse or Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML). Strong commercial acumen with the ability to translate business problems into scalable, impactful solutions. A track record of influencing at senior ...

technical specifications Required Skills & Experience Great experience combining data science with software engineering Strong expertise in machine learning, with focus on causal ML and probabilistic modelling Experience developing and implementing knowledge graphs Proficiency in scaling AI solutions from concept to production Working knowledge of backend systems, data pipelines … processes Familiarity with cloud platforms, particularly Microsoft Azure Understanding of microservices architecture and distributed systems Experience with DevOps practices for AI/ML workflows (MLOps) Strong programming skills in Python and related data science libraries Demonstrated ability to work within solution architecture frameworks Preferred Qualifications Experience with multiple cloud providers ...

Machine Learning Engineer, Personalization Join the Personalization team to build and scale machine learning systems that power recommendations for millions of users. You will work on the intersection of research and production, developing reward … signals, A/B testing mid‐term signals, and optimizing model architectures to improve user satisfaction. Requirements Mid to Senior level experience in production ML systems Skills Python Java Scala PyTorch TensorFlow GCP Job Details Job Type: Full-time Location: London, UK (Work from Anywhere) Visa Sponsored #J-18808-Ljbffr ...

ML Engineer – Applied AI Startup Location: On-site Experience: Exceptional Engineers from 2+ Years to Senior/Staff Level We're working with one of the most exciting Applied AI startups in Europe, a company using cutting-edge AI to transform an industry that has seen little meaningful innovation … platform and an ambitious vision ahead, they're scaling aggressively and looking to hire exceptional engineers across both Software Engineering and AI/ML Engineering . This is a company that places an enormous emphasis on talent density. Rather than hiring against rigid job descriptions, they actively seek out exceptional ...

leading cause of death globally and an important risk factor for neurodegenerative diseases and cancer. Sustainably addressing these diseases requires breakthrough therapeutics, AI/ML innovation, and transformative business models that translate clinical outcomes into economic value. The Opportunity This is an opportunity to build the ML and AI foundations … will sit at the intersection of data science, platform engineering, and production systems. Your mission is to design and operate the foundations that allow ML, analytics, and agentic AI systems to move safely and reliably from experimentation into regulated healthcare production environments on Google Cloud Platform. You will ...

real-time audio intelligence. This contract role is based in London with hybrid working and will suit someone who can combine strong applied ML capability with solid software engineering and production delivery experience. You will help build and improve machine learning models and cloud services that enable natural … responsive voice experiences across consumer devices and partner ecosystems. You will design, develop, train and optimise scalable ML models for areas such as far-field voice detection, speaker verification, wake-word/keyword spotting, and audio enhancement. You will contribute to applied innovation across speech and audio signal processing ...

Intercom is looking for a Machine Learning Engineer to identify valuable ML opportunities and bring prototypes into production. The ideal candidate should have a strong applied machine learning background, solid statistical knowledge, and excellent communication skills. You'll work closely with product and design teams … create exceptional ML products. Our hybrid working policy allows for flexibility, and we expect in-office collaboration at least three days a week. Benefits include competitive salary, pension scheme, and comprehensive health insurance. #J-18808-Ljbffr ...

, Applied Mathematics, Statistics, Financial Engineering, or a related quantitative field/li , li Significant professional experience (typically 7–12+ years) in AI/ML product development/management, model validation, quantitative research, risk modelling, or related areas/li , li Demonstrated success working with technical teams or senior specialists … high stakes modelling environments/li , li Deep understanding of AI/ML systems including LLMs, agentic architectures, RAG pipelines, credit or pricing models, or risk modelling techniques/li , li Hands-on experience developing or validating models, performing statistical testing, and analysing model assumptions, limitations, and risks/ ...

Computer Vision ML EngineerFully Remote6 Month ContractOutside IR35£550 to £600 per day The Company They are a global technology organisation with a dedicated research function focused on applied AI and graphics. The team operates at the intersection of machine learning, computer vision, and low-level optimisation, working … practical delivery, aiming to push image and video quality beyond current standards. The Role and Deliverables Develop and experiment with advanced computer vision and machine learning techniques for image and video enhancement. Apply Generative AI approaches such as diffusion models and GANs to 2D-to-3D conversion ...

data solutions with measurable impact. Key Responsibilities Produce high-quality data, robust data architecture, and scalable systems that support applications, analytics and AI/ML initiatives Create and maintain data ingestion pipelines delivering clean, well-structured data to power applications and machine learning models Create and maintain data … optimized for experimentation and model training Maintain and evolve our databases and data warehouses across environments, ensuring performance, integrity, and support for analytics and ML use cases Troubleshoot and resolve data issues across systems, identifying root causes and implementing long-term fixes Stay up to date with developments in data ...

Partnering with engineering, business, and domain teams to bridge the gap between commercial goals and technical solutions Serving as the go-to expert on ML system design, model tuning, and bringing solutions to production at scale What we're looking for: Proven ability to build and ship production-ready data … science solutions using Python and the wider ML ecosystem Deep practical knowledge of applied machine learning, spanning model development through to data engineering Comfortable working across major cloud platforms (Azure, AWS or GCP) with hands-on exposure to tools like Spark, Hive or Redshift A track record ...

drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders … drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption Lead ...

JPMorgan Chase & Co. is seeking a Lead Machine Learning Scientist to deliver innovative machine learning solutions within the International Consumer Bank. You will lead a team to develop and maintain models, collaborating across teams to leverage data for business solutions. Candidates should be skilled in Python … solid grasp of mathematical concepts. The position demands a collaborative spirit and a passion for technology and fintech, with opportunities to work on advanced machine learning applications. #J-18808-Ljbffr ...

Title: Junior Low-Level C++ Engineer (GPU & ML Optimization) Location: London, UK About the Client: We are partnering with an exciting, disruptive technology company working at the intersection of machine learning, high-performance computing, and GPU acceleration . The team builds performance-critical software that helps power … data-driven applications across industries such as autonomous systems, healthcare, and immersive gaming. Their mission is to push the boundaries of performance in ML and AI workloads using modern software engineering practices and cutting-edge hardware. This is a great opportunity for a junior engineer with a strong foundation ...

proposal writing, solutioning, and client presentations. Mentor and coach junior data scientists and analysts. Stay current with emerging technologies and methodologies in AI/ML and data science. Required Education Bachelor's Degree Preferred Education Master's Degree Required Technical and Professional Expertise Full AI Project Lifecycle: Experience in managing … with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large ...

learning delivery . This is a hands-on senior platform role , focused on building robust, Kubernetes-based platforms that enable MLOps engineers, ML engineers, and data scientists to deploy, run, and manage models safely and effectively in production. While you'll need a strong understanding of how machine … that work reliably and at scale. What you'll be doing You'll be responsible for building a production-grade AI/ML platform , not just running clusters. You will: Design, build, and operate a Kubernetes-based platform that supports multiple ML and engineering teams Extend Kubernetes with MLOps-specific ...

ML Engineer - Reinforcement Learning London (hybrid, 1 day/week in Kings Cross)- Solve Data Centres Cooling issues Cooling is one of the largest items on a data centre's energy bill, and most sites run it conservatively because getting it wrong puts the hardware at risk. Our client … cooling systems on live sites, cutting cooling energy without breaching the temperature and humidity limits operators are contractually bound to. They're hiring an ML Engineer - Reinforcement Learning to build those agents and get them running on real data centres. You'll report to the CTO/Head ...

evolving goals. Passion for bridging fundamental AI research with impactful applications. Desired Demonstrated research track record with first‐author publications at top‐tier ML/AI conferences (NeurIPS, ICML, ICLR, etc.) Hands‐on experience with RL fine‐tuning frameworks (e.g., TRL, verl) and distributed multi‐GPU training. Active GitHub portfolio … showcasing relevant ML/AI projects. Strong interest in AI for science, world models, or reasoning systems for large language models. #J-18808-Ljbffr ...

proposal writing, solutioning, and client presentations. Mentor and coach junior data scientists and analysts. Stay current with emerging technologies and methodologies in AI/ML and data science. Required technical and professional expertise Full AI Project Lifecycle: Experience in managing the full AI project lifecycle, from research and prototyping … with advanced analytics techniques for structured data, including proficiency in Python and AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face. NLP and ML Methods: Deep understanding of Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, with expertise in foundation models and large ...

Trainline plc is seeking a Machine Learning Engineer to join their team in Greater London. The role involves designing and delivering machine learning models, collaborating with data scientists and engineers, and owning the complete machine learning lifecycle. Ideal candidates will have an advanced degree ...

measurement, embeddings, reranking, and retrieval orchestration. Experience with evaluation datasets, benchmarking, annotation workflows, and advanced programming skills in Python. Familiarity with modern AI/ML frameworks and tooling (PyTorch, Hugging Face, LangChain, LangGraph, Haystack). Experience working with large‐scale datasets, distributed data/ML platforms, and production AI systems. … assistants. Familiarity with scientific, biomedical, or scholarly datasets and workflows. Experience with knowledge graphs, ontologies, or semantic enrichment systems. Experience with production ML systems, MLOps, and AI governance practices. Publications or applied research contributions in NLP, IR, search, recommendation systems, or generative AI. Experience building AI systems in high‐trust ...

SaaS. Must-haves: Senior engineering leadership experience (Head of Engineering, Engineering Manager level) Proven track record building data platforms for analytics and AI/ML Deep Microsoft Azure expertise Hands‐on experience with Databricks, APIs, and integration platforms Strong understanding of MLOps and productionizing machine learning Experience leading … technical vision and delivery of our core platforms: Build world‐class platforms Architect cloud‐native data and AI systems that support analytics, ML workloads, and real‐time operations Create API‐first integration layers for internal teams and external partners Implement MLOps best practices for model deployment and lifecycle management Lead ...

Cleared Machine Learning Engineer - Contract Rate: Up to £620 per day (Inside IR35) Location: London or Manchester (1-2 days per week on-site) Contract: 6 months Clearance: Active SC required We're hiring an experienced SC-cleared Machine Learning Engineer to support the delivery ...