1 to 25 of 144 Machine Learning Jobs in the City of London

Machine Learning Engineer Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward-thinking … environment. Client Details Machine Learning Engineer This opportunity is with a medium-sized organisation in the insurance industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer Design ...

Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision … problems. The specific focus of this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams ...

Machine Learning Engineer/ML Engineer Machine Learning Development Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series … model performance through advanced techniques including hyperparameter tuning, ensemble methods, and neural architecture search Collaborate with quants to understand pricing model requirements and identify ML opportunities Develop data-driven approaches to complement traditional quantitative finance models Support implementation of ML solutions for derivatives pricing and risk management Core Technical Skills ...

processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering … workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing ...

partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded … knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using ...

Data Science/AI Engineering Role Overview We are seeking a highly skilled Machine Learning Engineer to design, build, and deploy scalable ML solutions that power intelligent products and services. You will work closely with data scientists, software engineers, and product teams to transform cutting-edge research into … containerization, monitoring). Performance Optimization: Continuously improve model accuracy, latency, and scalability. Collaboration: Work cross-functionally with product managers and engineers to align ML solutions with business objectives. Documentation & Compliance: Ensure proper documentation and adherence to data privacy and ethical AI standards. Required Skills & Qualifications Education: Bachelor’s or Master ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems . Strong Python skills ...

Machine Learning Engineer £65,000 GBP Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent An opportunity is available for an experienced Senior Machine Learning Engineer to design, build and operationalise advanced machine learning solutions that directly support UK national security objectives ...

support a large-scale trading environment within a complex, data-driven organisation. The role focuses on building and deploying scalable data science and machine learning solutions that deliver tangible business value. This is a hands-on position suited to experienced practitioners with strong engineering, statistical, and communication skills. … Responsibilities Design, develop, and productionise scalable data science and machine learning products Collaborate closely with data engineers, software engineers, and business stakeholders Apply strong statistical and machine learning foundations to solve real-world trading problems Perform in-depth data analysis to generate actionable business insights Work ...

Senior Data Scientist | Lead Data Scientist | Machine Learning | Cloud Computing | Data Engineering | SC Cleared or Clearable | 2 days a week | £85,000 plus 15% bonus I am currently working with a brilliant consultancy with deep expertise in their field of Data and Cyber Security solutions, predominantly with Central … novel models/solutions to help that client and communicate clearly with them the solution you have found, this combined with strong analytics/machine learning skills and a base understanding of engineering principles is the core of the role. This role will focus on you being ...

deploy machine learning systems that accelerate decision-making and unlock business value. You’ll design, implement and deploy production-grade AI and ML systems, ranging from NLP pipelines that extract insights from complex documents to integrating models with third-party services to streamline workflows. We’re looking … data-driven products that directly impact investment decisions and portfolio company performance. Drive measurable impact: Partner with internal desks and portfolio teams to integrate ML products into their existing workflows to drive high adoption and value. Move fast and iterate: Work in an agile environment where experimentation, pragmatic engineering ...

Language models that could be locally resident, problems in computer vision, speech, Natural Language Processing (NLP), multilingual models, applied statistics, data mining or conventional machine learning models. We look to our data scientists to be conversant with at least 2 or more of the above areas … conversant with deep learning and conventional machine learning methods. Have requisite theoretical strength, and expertise in problem solving whilst being hands on and be conversant with coding in Python along with relevant libraries. Qualifications/experience: PhD/Master’s/Graduate Degree in Computer Science, Machine ...

deployment within cloud-based environments. Maintain high standards of code quality, documentation, and testing within a DevOps-oriented workflow. Apply strong knowledge of ML techniques, from supervised/unsupervised learning through to emerging methods in generative AI and large language models. What We’re Looking For Essential Skills & Experience … across varied data types and business domains. Familiarity with DevOps practices and tools such as Git. Cloud experience (e.g., Azure, AWS) and working with ML platforms and services. Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. Ability to align analytical outputs with broader business ...

high-profile consulting engagement with a major client in London. This is a fantastic opportunity to lead the design, implementation, and optimization of machine learning operations in a dynamic, multi-cloud environment. Key Responsibilities: Lead the end-to-end deployment … operationalization of machine learning models in production environments. Design and implement scalable MLOps pipelines, ensuring robust CI/CD practices for ML workflows. Collaborate closely with Data Scientists and Engineering teams to streamline model lifecycle management. Drive best practices for monitoring, versioning, and governance of ML models. Advise ...

reach of a global investment platform. Our team partners directly with internal investment desks as well as portfolio companies across industries to deliver machine learning solutions that unlock value and accelerate decision-making. Your work will range from developing and validating robust predictive models for pricing and valuation … forecasting, NLP, or optimization. Experience with uncertainty quantification, model evaluation, and statistical inference is highly valued. Python expertise: Skilled in building data pipelines and ML models using modern libraries across multiple domains: Data science stack: NumPy, pandas/polars, scikit-learn, XGBoost, LightGBM Deep learning: PyTorch, JAX Statistical programming ...

techniques, including big data and AI-assisted data preparation. Significant experience leveraging SQL and Python for data querying and automation; familiarity with AI/ML libraries or APIs (e.g., OpenAI, scikit-learn, or similar) is preferred. Experience with visualization tools such as Tableau, Power BI, or AI-augmented BI tools … machine learning concepts (classification, regression, clustering). Knowledge of big data platforms and cloud-based AI analytics environments (e.g., Databricks, Snowflake, Azure ML, or AWS SageMaker). Ability to present complex issues as simple, compelling, and data-driven narratives, enhanced by AI-supported visualization and summarization tools. Demonstrated ...

launch next year and are currently hiring in Miami, London and Milan. Role Contribution to production proprietary trading systems and create and deploy Machine Learning and Airtifical Intelligence models and experiment with trading ideas. Required Experience training Machine Learning models … from data processing to fine tuning), experience training across transformers/generative models/RL, with publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. Positives ...

Senior ML Engineer £50,000 to 60,000 GBP bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Machine Learning Engineer - London/Hybrid Up to £65,000 + DV Bonus | DV Eligible Required | No Sponsorship We are seeking a Senior ML Engineer … join a leading organisation delivering cutting-edge AI and machine learning solutions with real-world impact. You will design, develop, and deploy ML models, including traditional ML and GenAI/LLM applications, supporting national security and regulated sector objectives. This is a London-based role with hybrid working ...

products from inception, working across the full data ecosystem. This includes developing application-specific data pipelines, building CI/CD pipelines that automate ML model training and deployment, publishing model results for downstream consumption, and building APIs to serve model outputs on-demand. The role requires close collaboration with … data scientists and other stakeholders to ensure ML models are production-ready, performant, secure, and compliant. Key Responsibilities Design, implement, and maintain scalable ML model deployment pipelines (CI/CD for ML) Build infrastructure to monitor model performance, data drift, and other key metrics in production Develop and maintain tools ...

Senior ML Engineer £50,000 to 60,000 GBP bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Senior Machine Learning Engineer - London/Hybrid Up to £65,000 + DV Bonus DV Eligible Required No Sponsorship We are seeking a Senior ML Engineer … join a leading organisation delivering cutting-edge AI and machine learning solutions with real-world impact click apply for full job details ...

long-term team-building strategies. Develop and execute innovative sourcing strategies to identify and engage top-tier, passive technical talent in the AI/ML landscape. Manage the full-cycle recruitment process, ensuring a seamless and high-touch candidate experience from initial contact through to offer. Build and maintain … Technical Recruiter, preferably within a fast-paced technology, product, or R&D environment. Demonstrable track record of successfully sourcing and hiring for AI/ML roles (e.g., Machine Learning Engineer, Data Scientist, AI Researcher, NLP Engineer, Computer Vision Engineer). Passion for technology and a strong understanding ...

quality, timely data availability. What you will do Design, build, and maintain scalable, cloud-based data pipelines and architectures to support advanced analytics and machine learning initiatives. Develop robust ELT workflows using tools like dbt, Airflow, and SQL (PostgreSQL, MySQL) to transform raw data into high-quality, analytics … data ingestion from third-party APIs, model data using dbt, and support machine learning workflows for asset pricing and prediction using Azure ML Studio. This includes ELT processes, data modeling, running predictions, and storing outputs for downstream analytics. Your Experience We’re a small, high-impact team with ...

deployed on devices and in the cloud. As a Machine Learning Engineer in GenAIIC, you are proficient in developing and deploying advanced ML models and pipelines to solve diverse customer problems using Gen AI. You will be working alongside scientists with terabytes of text, images, and other types … design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience. Key job responsibilities Our ML Engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. Youll bring a passion for the intersection of software ...

analysts, coaches, and performance staff to understand requirements and translate them into actionable data solutions Stay up to date with advancements in sports analytics, machine learning, and data science methodologies Your Background 3+ years of industry experience as a Data Scientist , plus a strong academic foundation Python … Data Science Stack : Advanced proficiency in Python , including Pandas, NumPy and scikit-learn. Statistical & Machine Learning Modelling : Experience with a variety of ML techniques ( regression, classification, clustering, time-series forecasting ) Experience with deep learning frameworks such as Keras or PyTorch Model Deployment : Proven ability to productionise models ...

Machine Learning Engineer role sits within the deployment group, working hands-on with portfolio companies post-deal to design, build, and deploy ML solutions that improve real business outcomes. Projects are varied, impact-driven, and typically delivered over 2–6 month cycles. Key Responsibilities … ML delivery from problem definition through deployment Build and productionise models across forecasting, pricing, churn, segmentation, fraud, and NLP use cases Work closely with data engineers and cloud infrastructure to scale solutions Translate technical work into clear commercial impact for senior stakeholders Contribute to code quality, deployment standards, and best ...