1,101 to 1,125 of 2,224 Machine Learning Jobs in London

benchmark data, fund/account information. Awareness of typical technical landscape within modern enterprise SaaS Applications including MS Azure, Snowflake, SQL, ETL tools, and machine learning models. Knowledge of data vendors such as Bloomberg, Refinitiv, MSCI, etc., other index and ESG data providers. Hands-on experience with at More ❯

Designing Generative AI Proof of Concept. Contriubute to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 6+ years of More ❯

Designing Generative AI Proof of Concept. Contriubute to AI infrastructure Building reliable, scalable, and flexible systems. Influence Opinion and decision-making across AI and ML Skills Python SQL/Pandas/Snowflake/Elasticsearch Docker/Kubernetes Airflow/Spark Familiarity with GenAI models/libraries Requirements 6+ years of More ❯

you’ll use: Languages like Python, Kotlin, JavaScript, or Go Cloud platforms (AWS/GCP), Infra-as-Code, Docker, K8s Interested/projects in ML or AI CI/CD, observability, and distributed systems Why it’s exciting: Profitable, growing business with a global reach High-impact AI work with More ❯

will be part of an engineering team that works across every layer of the stack, from implementing complex user interfaces, optimising databases, to debugging ML models. You will contribute to the long-term direction of the team, making sure that we are developing the engineering capabilities that will allow us More ❯

automating the process of integration, testing, and deployment. Experience with designing and implementing interfaces and infrastructure for large volume services and APIs. Exposure to Machine Learning. Benefits: 25 days holiday Private medical Life insurance Matched pension to 10% Stock. Every employee is a stakeholder in our future. Bike to More ❯

and services on AWS. Strong practical experience in Flyway or Liquibase. Strong understanding of modern technologies and adoption of advanced solutions on AI/ML for resolving automation problems is highly advantageous. Soft Skills: Excellent problem-solving abilities and attention to detail. Strong communication and interpersonal skills, with the ability More ❯

per week. Our Data Environment Our Data teams are aligned to divisions covering the following Banking Services & Products, Customer Identity & Financial Crime and Data & ML Engineering. Our Data teams are excited about delivering meaningful and impactful insights to both the business and more importantly our customers. Hear from the team More ❯

Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation … to model building, evaluation, and visualization. · Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries. · Familiar with ML Ops, model development workflows, and feature engineering techniques. · Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. … Adept with software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., JIRA). · Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. · Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial. · Excellent communication skills More ❯

Proficient in statistical data analysis, machine learning, and NLP, with a clear understanding of practical applications and limitations. · Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. · Skilled in complete project delivery, from data preparation … to model building, evaluation, and visualization. · Proficient in Python programming and SQL, with experience in production-level code and data analysis libraries. · Familiar with ML Ops, model development workflows, and feature engineering techniques. · Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search. … Adept with software development methodologies, code versioning (e.g., GitLab), and project tracking tools (e.g., JIRA). · Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. · Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial. · Excellent communication skills More ❯

of the SAP DTS Capability. As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications. Your role Analyse and assess client business processes and requirements to design SAP MM/WM … of the latest SAP capabilities and roadmap. AI and Machine Learning Interest: Passion to stay at the cutting edge of AI and ML advancements in SAP, and leveraging these technologies to drive automation, optimise processes, and deliver intelligent analytics that enhance business performance. Your security clearance To be More ❯

We're Hiring: Staff Engineer (ML-Native/Software Engineering) – Remote Hi everyone! 👋 I’m currently hiring for a Staff Engineer to join a global tech company that’s shaping the future of online safety and digital experiences. This role is ideal for someone who lives at the intersection of … strong software engineering , and wants to build real-world systems that make a difference. 🧠 What You'll Be Doing: Designing & building scalable systems—from ML pipelines to microservices and APIs Owning full lifecycle delivery: from research notebooks or rough concepts to clean, robust, and reliable production code Collaborating across teams … thrive on solving problems end-to-end, not just prototyping Deep backend/software engineering experience (we use modern cloud platforms, containers, APIs, etc.) ML-native thinking: you're excited by ML, know when (and when not) to apply it, and can scale it pragmatically Strong systems design, architecture, and More ❯

We're Hiring: Staff Engineer (ML-Native/Software Engineering) – Remote Hi everyone! 👋 I’m currently hiring for a Staff Engineer to join a global tech company that’s shaping the future of online safety and digital experiences. This role is ideal for someone who lives at the intersection of … strong software engineering , and wants to build real-world systems that make a difference. 🧠 What You'll Be Doing: Designing & building scalable systems—from ML pipelines to microservices and APIs Owning full lifecycle delivery: from research notebooks or rough concepts to clean, robust, and reliable production code Collaborating across teams … thrive on solving problems end-to-end, not just prototyping Deep backend/software engineering experience (we use modern cloud platforms, containers, APIs, etc.) ML-native thinking: you're excited by ML, know when (and when not) to apply it, and can scale it pragmatically Strong systems design, architecture, and More ❯

A leading multi-strategy hedge fund is seeking a Senior AI Engineer to advance their AI and machine learning initiatives across trading, risk, and research functions. … This role offers the chance to work on impactful projects in a high-performance, data-driven environment. Responsibilities: Develop, deploy, and optimize AI/ML models that enhance trading strategies and risk management Build and maintain robust AI pipelines and model life-cycle management systems Collaborate closely with quantitative researchers … opportunities Ensure model scalability, performance, and reliability in live production environments Qualifications: 6+ years of software engineering experience, with recent experience developing AI/ML tools and applications Proficient in Python and ML frameworks (TensorFlow, PyTorch) Experience with cloud and on-premises environments; familiarity with high-performance computing is a More ❯

A leading multi-strategy hedge fund is seeking a Senior AI Engineer to advance their AI and machine learning initiatives across trading, risk, and research functions. … This role offers the chance to work on impactful projects in a high-performance, data-driven environment. Responsibilities: Develop, deploy, and optimize AI/ML models that enhance trading strategies and risk management Build and maintain robust AI pipelines and model life-cycle management systems Collaborate closely with quantitative researchers … opportunities Ensure model scalability, performance, and reliability in live production environments Qualifications: 6+ years of software engineering experience, with recent experience developing AI/ML tools and applications Proficient in Python and ML frameworks (TensorFlow, PyTorch) Experience with cloud and on-premises environments; familiarity with high-performance computing is a More ❯

top VCs and 2 ex-Big Tech Co-Founders. ROLE AND RESPONSIBILITIES Working closely and technically leading a small team, to build and scale ML models focusing on Computer Vision, LLMs and ML Working alongside technical founders, chance to have real autonomy and drive commercial and technical value - whilst working … the end users Driving the latest innovative research in AI, deploying core projects onto their platform Opportunity to upskill and mentor junior members, whilst learning from a high-calibre team SKILLS AND EXPERIENCE Required PhD/MSc from top academic institution in STEM related subject + experience in AI …/Engineering Proficiency in Python Then experience in some of: Computer Vision (2D or 3D), GenAI, LLM (Agents and Fine tuning), Machine Learning Actively looking to join a fast-paced startup This role can sponsor for strong candidates Apply below More ❯

top VCs and 2 ex-Big Tech Co-Founders. ROLE AND RESPONSIBILITIES Working closely and technically leading a small team, to build and scale ML models focusing on Computer Vision, LLMs and ML Working alongside technical founders, chance to have real autonomy and drive commercial and technical value - whilst working … the end users Driving the latest innovative research in AI, deploying core projects onto their platform Opportunity to upskill and mentor junior members, whilst learning from a high-calibre team SKILLS AND EXPERIENCE Required PhD/MSc from top academic institution in STEM related subject + experience in AI …/Engineering Proficiency in Python Then experience in some of: Computer Vision (2D or 3D), GenAI, LLM (Agents and Fine tuning), Machine Learning Actively looking to join a fast-paced startup This role can sponsor for strong candidates Apply below More ❯

scale open-source projects. You will also have the opportunity to teach on the fellowship about topics that range from basic statistics to reinforcement learning, and to mentor the fellows through their 6-week project. Thanks to Faculty platform, you will have access to powerful computational resources, and you … in a short timeframe An excellent command of the basic libraries for data science (e.g. NumPy, Pandas, Scikit-Learn) and familiarity with a deep-learning framework (e.g. TensorFlow, PyTorch, Caffe) A high level of mathematical competence and proficiency in statistics A solid grasp of essentially all of the standard … data science techniques, for example, supervised/unsupervised machine learning, model cross validation, Bayesian inference, time-series analysis, simple NLP, effective SQL database querying, or using/writing simple APIs for models. We regard the ability to develop new algorithms when an innovative solution is needed as a More ❯

Find the latest job opportunities in AI and tech. RunPod offers GPU cloud computing for AI/ML, providing secure and community cloud options, on-demand and spot pods, and serverless GPU scaling. The flexibility of remote work with an inclusive, collaborative team. An opportunity to grow with a company … in infrastructure-as-code and configuration management tools Responsibilities: Lead and mentor a team of Site Reliability Engineers, fostering a culture of innovation, continuous learning, and technical excellence Develop and implement strategic plans to enhance the reliability, scalability, and efficiency of our infrastructure Collaborate with cross-functional teams to … model available on X and via API, focused on accelerating scientific discovery. Experience Requirements: Expert in at least one programming language that compiles to machine code such as Rust, C++, or Go. Expert knowledge of monitoring technologies such as Prometheus, Grafana, and PagerDuty. Expert knowledge of deployment technologies such More ❯

have enormous impact on what we do. We are actively engaged with the broader technology community. We host and sponsor London's PyData and Machine Learning Meetups. We regularly talk at leading industry conferences and tweet about relevant technology and how we're using it. We offer competitive … compensation, a generous holiday allowance, various health and other flexible benefits. We are also committed to continuous learning and development via coaching, mentoring, regular conference attendance, and sponsoring academic and professional qualifications. We're fortunate enough to have a fantastic open-plan office overlooking the River Thames and continually More ❯

ideas to life Contributing to microservices architecture and API integrations across platforms Writing clean, efficient, and testable code in a fast-paced environment Continuously learning and growing as part of a supportive, dynamic team Tech You’ll Use Languages: Python (Django, Flask, FastAPI) Databases: PostgreSQL, MongoDB, Redis DevOps: Docker … Kubernetes, CI/CD pipelines Cloud: AWS/GCP Bonus: Familiarity with front-end tech (React/TypeScript), media delivery systems, or machine learning pipelines What We’re Looking For 1–4 years of professional experience working with Python Solid understanding of backend fundamentals, APIs, and data structures More ❯

ideas to life Contributing to microservices architecture and API integrations across platforms Writing clean, efficient, and testable code in a fast-paced environment Continuously learning and growing as part of a supportive, dynamic team Tech You’ll Use Languages: Python (Django, Flask, FastAPI) Databases: PostgreSQL, MongoDB, Redis DevOps: Docker … Kubernetes, CI/CD pipelines Cloud: AWS/GCP Bonus: Familiarity with front-end tech (React/TypeScript), media delivery systems, or machine learning pipelines What We’re Looking For 1–4 years of professional experience working with Python Solid understanding of backend fundamentals, APIs, and data structures More ❯

like DeFi, Exchanges, Wallets, Smart Contracts, mixers and privacy services. Bonus Experience: Databricks and PySpark Analysing blockchain data Building and maintaining data pipelines Deploying machine learning models Use of graph analytics and graph neural networks Following funds on chain by using block explorers. Job Benefits Hybrid working and … work from almost anywhere for up to 90 days per year. £500 Remote working budget to set up your home office space. $1,000 Learning & Development budget to use on anything (agreed with your manager) that contributes to your growth and development. Holidays: 25 days of annual leave + More ❯

culture, have the opportunity to take a product from ideation all the way through to a live service, work with the best-in-field ML experts on contemporary AI methods, all while working directly with clients and keeping a focus on delivery - this is the role for you. Economies around … the art advanced AI products to help Financial Institutions detect and prevent fraud & scams in real-time payments, using contemporary techniques such as Deep Learning, Network Graph Analytics and Scalable ML. The RTP Risk Analytics offering marks a key strategic growth pillar for Visa globally as part of our … fast-paced, agile environments with demanding timelines. • Extensive experience in designing and taking products to market that use complex modelling techniques (inc. AI/ML). • Experience in management and requirement provision for remote data science teams focused on AI/ML. • Passion for innovating and delivering truly differentiated products More ❯

product strategy and bridge business goals with technical considerations. Expertise in machine learning and AI - you must be able to read an ML paper, understand what this could mean for our product and explain it to others; you've experimented with ML models (stable diffusion, dreambooth etc.). More ❯