51 to 75 of 220 Machine Learning Jobs in Central London

role, you will: Parallelise training across multiple GPUs and GPU nodes Develop and containerise robust inference pipelines (Docker, ONNX/TensorRT) Build cutting-edge ML infrastructure to be deployed at scale You should bring: MSc or PhD, with 2+ years of industry experience Strong Python and PyTorch skills Experience with …/distributed) is a plus Experience with Docker, cloud platforms (e.g. AWS), and CI/CD A track record of delivering productionised, scalable ML systems This is a highly collaborative role with real ownership of state-of-the-art ML models. If you are a proactive, autonomous individual who thrives ...

drivers Translate insights into clear, compelling narratives and visualisations Identify opportunities to apply AI across products and services Model Development Design, build, and validate machine learning models Develop modelling inputs for AI pipelines and platforms Implement robust evaluation methods (A/B testing, causal analysis) Ensure models … embed data-driven decision-making What We’re Looking For: Essential: Strong experience with Python, SQL , and data analysis Solid background in statistical modelling & machine learning Proven experience building and deploying models end-to-end Strong problem-solving mindset with a pragmatic approach PhD in degree ...

newer function, created to enhance existing capabilities and drive innovation through advanced analytics and artificial intelligence The Role Design, develop and enhance AI and machine learning models to support client and internal projects. Apply AI techniques such as LLMs, transformers and predictive modelling to real-world business problems. … model development, including scorecards or other predictive models. Hands-on experience applying AI and machine learning, such as chatbots, LLMs or advanced ML models. Solid programming skills in Python and SQL. Experience exploring AI as an alternative or improved solution to existing lending or collections processes. Confident communicator ...

identify patterns, and translate findings into actionable recommendations Develop and implement data products that address client business challenges – from core analytics to production ready ML solutions Communicate results clearly to non-technical stakeholders, both in writing and in person Tackle ambiguous problems with initiative, while knowing when to collaborate … look for opportunities to apply them Skills and Qualifications: Required: 2+ years of commercial experience in either data analytics, data science or machine learning A strong academic background in a STEM subject (e.g., Mathematics, Computer Science, Physics, Engineering etc) from a top University Fluent SQL skills alongside proficiency ...

enabled workflows under tight deal timelines Own solution quality from proof‐of‐concept through to live production and operational handover AI & Advanced Analytics Apply machine learning, generative AI, and advanced analytics to support M&A use cases such as: Commercial and operational due diligence Synergy identification and value … Deep hands‐on expertise with: Python and modern data/AI engineering stacks Data pipelines, distributed systems, and cloud platforms (AWS, Azure, or GCP) Machine learning and/or Generative AI workflows Ability to operate effectively in highly ambiguous, fast‐moving environments with senior stakeholders Commercial & Advisory Skills ...

specification and code generation toolsets for API development. Some experience with Python, modern development techniques, and design patterns. Experience in data science tools and ML tools (e.g., NumPy, pandas, scikit-learn, PyTorch) and open-source contributions (especially Python-based) would be a bonus. Familiarity with CUDA, GPU-based computations … systems we build are safe to use. To meet this need, we are developing advanced deep validation techniques and tools that allow AI/ML engineers world-wide to validate the robustness of their models, as well as repair the fragilities that they discover. By joining ...

Europe. We’re building a team of consultants who are passionate about placing top talent within technologies including Software Engineering, Data, AI & Machine Learning, ERP, Cloud, and Data Centre software or hardware. Our London team is hiring experienced recruiters who take ownership of their careers, thrive in high … processes Evidence of achieving and exceeding financial/revenue targets Experience within one or more of our core technology areas: Software Engineering, Data, AI & Machine Learning, ERP (SAP/Oracle/Salesforce/MS Dynamics), Cloud (AWS/Azure/GCP), or Data Centre software/hardware Perks ...

growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role … experience mentoring or leading others Nice to Have Experience working in regulated or sensitive domains Exposure to graph-based retrieval techniques Experience with Azure ML and DevOps integrations ...

stay hands-on. Responsibilities include delivering Fabric solutions (OneLake, Lakehouse, Warehouses, Power BI), leading architecture and performance optimisation, and enabling advanced analytics and machine learning with Fabric and Azure ML. Key skills and responsibilities, Demonstrated hands-on experience with Microsoft Fabric and Power BI. Extensive knowledge in data … deliver comprehensive Fabric solutions, including OneLake, Lakehouse, Warehouses, and Power BI. Lead architectural design, capacity planning, and performance optimization efforts. Facilitate advanced analytics and machine learning initiatives utilising Fabric and Azure ML. Implement governance, security, and DevOps best practices. Mentor engineers and contribute to the development of platform ...

Senior Recruitment Consultant – Data, AI & Machine Learning (Contract/Interim) 📍 London (Shoreditch HQ) | 🌍 Hybrid working 💸 £35,000 – £45,000 basic + uncapped commission Looking to dominate the fastest-moving market in tech? At Arrows Group, we know that in the world of AI and Machine Learning … Benelux/Dutch markets, helping our clients scale at pace. What you'll be doing: Lead a high-velocity Data/AI/ML contract desk, managing the full lifecycle from lead gen to deployment. Cultivate a deep network of immediately available freelance specialists (Data Scientists, ML Engineers, AI Researchers ...

Develop high-performance data pipelines using Python (Pandas) or Spark within Palantir Foundry, ensuring seamless data transformation and integration to support analytics, reporting, and machine learning use cases across the enterprise. Design and implement reusable, scalable, and well-documented data workflows that ingest, transform, and curate data within … Proven expertise in using Palantir Foundry's ontology to model data in ways that optimise its accessibility and usability, supporting robust reporting, analytics, and machine learning pipelines. Deep understanding of Foundry's data governance and metadata management: Strong knowledge of how Palantir Foundry manages data governance, metadata, lineage ...

Frequent Travel) £100,000–£120,000 + 25% bonus A high‐growth consultancy is expanding its AI & Digital capability, hiring multiple Data Science and Machine Learning leaders at Lead level. This team solves complex, real‐world problems … across Consumer, Public Sector and Defence, working closely with major AI partners. What You’ll Do Lead end‐to‐end delivery of DS/ML/AI solutions with measurable commercial or operational impact Shape, design and implement complex client programmes Influence senior stakeholders and guide client decision‐making Coach ...

What you’ll bring to British Airways: Strong analytical mindset with the ability to structure ambiguous problems Proven technical leadership in data science and machine learning delivery Ability to communicate complex technical concepts clearly to senior and non‐technical audiences Confidence challenging constructively and influencing senior stakeholders Strong … with data science components Experience of leading others in applying data science to business problems Experience in developing industrialised software, especially data science or machine learning software products Experience in relevant business domains (transportation, airlines, operations, network problems) (preferred) What we offer: We believe that all the people ...

High-growth infrastructure company focused on delivering large-scale compute, data centre capacity, and power solutions for advanced machine learning workloads. Platforms support leading research and industry teams requiring high-performance computing at significant scale. Fast-paced environment with emphasis on ownership, execution speed, and quality. Culture centred … Bash Familiarity with infrastructure automation and infrastructure-as-code tools Strong technical foundation in computing or related discipline Preferred Experience Experience operating large-scale machine learning or AI-compute workloads Background in multi-tenant distributed systems at scale Hands-on experience with data centre or bare-metal infrastructure ...

enterprise marketing ecosystem. This position operates at the crossroads of marketing, data, and technology, with a strong emphasis on marketing tech data, AI & machine learning, and data workflows. You will play a key role in enhancing platform performance, strengthening integrations, and enabling scalable, data-driven marketing operations. This … sources, including digital, event, and third-party data Ensure seamless data delivery into analytics and reporting environments Collaborate with technical teams to implement AI & ML-driven capabilities such as automation and data enrichment Uphold data quality, governance, and compliance standards across all systems Identify opportunities to improve process efficiency, platform ...

they've built one of the world's most widely used open source data labelling platforms — trusted by over 350,000 data scientists and ML engineers worldwide. Their platform enables enterprises to train, evaluate, and fine-tune AI models using high-quality annotated data, combining powerful software with managed data … company goes to market across the region. You'll run full-cycle enterprise sales processes, selling into technical and senior stakeholders — data scientists, ML engineers, Heads of AI, CTOs, and VP-level buyers. Deal sizes typically range from ~$100k to $120k+, with larger enterprise opportunities up to ~$600k, and sales ...

segmentation, and other core computer vision tasks. Your strategic vision and technical expertise will be essential in supporting Ultralytics' mission of delivering top-tier machine learning tools and models like YOLO11 to the community. 🛠️ Skills and Experience 5+ years of hands-on experience in Computer Vision and Deep … MacBook and Apple Display provided. Team: Become part of a supportive and passionate team environment. If you are driven to redefine the capabilities of machine learning and eager to make a significant impact, Ultralytics offers an exceptional career opportunity. ...

Collaborate across Arrows’ international network to cross-sell opportunities Experience Minimum of 2 years’ 360 recruitment experience, within emerging technologies such as data, AI, ML or datacentres Proven success recruiting for the US market (perm placements essential) Strong business development and client acquisition skills Track record of exceeding financial … performance targets Knowledge of Data, AI, ML or Cloud technologies https://careers.arrowsgroup.com/Perks and Benefits Holiday – unlimited annual leave and Christmas shutdown Wellbeing – Hybrid working, home office setup budget, private healthcare, EAP with Health Assured, subsidised gym membership High Achiever Incentives – Up to 30% commission, bonuses ...

production-grade code to manage and execute orders across multiple MFT strategies and multiple exchanges in equities, crypto, and futures. Work with quant and machine learning researchers to continuously refine and improve data pipelines and execution algorithms. Provide an extra pair of hands for various other SE/… Build, maintain, and develop robust and optimized production-grade code. Manage and execute orders across multiple MFT strategies and exchanges. Collaborate with quant and machine learning researchers. Refine and improve data pipelines and execution algorithms. Support various SE/QD workloads. Qualifications Experience developing live execution systems across ...

building a cutting-edge analytics engine used to evaluate performance, surface opportunities, and power smarter decision-making through data products, dashboards, and machine learning. This isn’t just pipeline work, it’s about shaping how data drives strategy. You’ll join a highly collaborative team of Data Engineers, Analytics … Science team building out a Trade Intelligence Analytics platform used by an Electronic Trading Desk and its clients -focusing on trade performance, analytics, and machine learning-driven insights. It’s a really interesting position where you’d be working across the full stack, from building scalable data pipelines ...

fast-growing AI startup building an agentic, real-time decision engine that optimises customer interactions for measurable profit. Our platform blends advanced machine learning, deep learning, and reinforcement optimisation to decide the best action, message, or offer for every customer, automatically and at scale. We operate where … clean, usable UIs for complex products Good understanding of modern front-end engineering practices (components, state management, testing, performance) Genuine interest in AI/ML products and how users interact with them Hands-on experience using AI coding tools (e.g., Codex, Claude, Copilot, Cursor) to build or ship frontend features ...

days per week in-office) Salary: Up to £90,000 base + benefits Type: Full-time Overview We’re hiring a Senior AI/ML Engineer to join a fast-growing SaaS business working on large-scale, real-world AI problems. The team processes billions of data points daily … strong ownership, focused on building new AI‐driven product capabilities from early experimentation through to production. Responsibilities Design, prototype, and launch new AI/ML capabilities with clear customer impact. Translate product and customer needs into experiments, POCs, and production solutions. Build and operate scalable, production-grade ML systems. Work ...

systems Evaluate and apply cutting-edge academic research to real-world financial problems Work closely with quant researchers, engineers, and senior stakeholders to embed ML into core decision-making Help build and mentor a growing research team Requirements Published research in peer-reviewed venues such as IEEE, ICML, NeurIPS, ICLR … equivalent Deep expertise in time series modelling - financial data experience strongly preferred Proven end-to-end ML experience: data pipelines, model development, deployment, and monitoring Strong Python and ML engineering skills (PyTorch or JAX) PhD in ML, Statistics, Computer Science, or related field (or equivalent research output) Ability to communicate ...

operate for extended periods and execute tools within high-fidelity environments. The team has deep experience in large-scale AI systems and open-source ML, and the company is well funded by experienced operators and technical leaders in the field. We build environment infrastructure to train and evaluate agents … multi-hour or multi-day agent runs Improve environment infrastructure for long-horizon training and evaluation Maintain a large suite of containerised evaluation environments (ML benchmarks, code execution, scientific tasks) with fast cold-start times Optimise GPU utilisation and scheduling for distributed workloads Design storage patterns for large datasets, model ...

Currently looking for a ML Engineer A hands-on role bridging AI research and production. You will design agentic workflows and LLM architectures while building the MLOps "factory" to ensure models are scalable, secure, and monitorable. Core Responsibilities AI Design: Build autonomous agents using LangGraph or CrewAI and implement GraphRAG ...