126 to 150 of 673 Machine Learning Jobs in London

large-scale data processing, machine learning and next-generation search experiences. In this role, you will lead multiple engineering teams across data, ML, web, QA and DevOps disciplines to deliver a platform that processes massive datasets, powers complex distributed systems and provides high-value insights to enterprise clients. … processing, machine learning pipelines and web application development Ensure systems are scalable, reliable and capable of handling large-scale data and evolving ML workloads Introduce and measure engineering KPIs Drive improvements in delivery processes, release quality and development efficiency Collaborate with Product to prioritise work and align delivery ...

planners interact with intelligent systems across optimization, allocation, and planning workflows. While the product is moving towards agentic, our agents remain grounded in machine learning and complex mathematical models (e.g., econometrics, reach modelling). Success in this role depends on bridging the best of both worlds: machine … grow the Data Science team, fostering technical excellence, collaboration, and an iterative, prototype-driven culture. Requirements 8+ years of experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams. Fluent in Python and a strong interest in general software engineering ...

Senior Manager level, you’ll play a key role in shaping technical delivery and trusted client relationships. Our client invests heavily in learning, innovation, and career progression, supporting engineers with cutting-edge tools, exposure to high-impact projects, and the backing of a global consultancy network. Flexible working … industries. Design and build end-to-end platforms as a Full Stack Data Engineer using Palantir and modern data technologies. Apply advanced analytics and machine learning to real-world challenges. Influence technical direction and best practice across complex programmes. Mentor and develop junior engineers while contributing ...

across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape … leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands ...

Chelsea Hackett via WHO ARE WE? Due to continued growth, we're supporting an established AI-driven technology organisation that builds scalable data and machine learning platforms for enterprise clients. The business focuses on transforming complex first-party data into production-ready decision intelligence tools, embedding AI into … metadata-driven frameworks that enable repeatable, production-ready outputs. The role also involves CI/CD automation, environment governance, and supporting the integration of machine learning outputs into live production systems. You'll collaborate closely with Data Scientists and AI Engineers to ensure models are robust, monitored ...

biotech and health-focused environment. This role is hands-on and technical, offering exposure to large biological datasets, AI model development, and modern machine learning workflows, including work with LLMs and data-centric AI systems. You'll work closely with senior engineers, data scientists, and domain experts across … academic, research, or commercial) Comfortable working in a remote, collaborative environment Nice to Have Experience with biological, clinical, or health-related datasets Knowledge of ML frameworks (e.g. PyTorch, TensorFlow, scikit-learn) Familiarity with cloud platforms or data engineering tools Why Apply? Join a well-funded startup at an early growth ...

reporting environments. Design and implement data models using methodologies such as 3NF, Dimensional and Data Vault. Stay up to date with industry advancements, including machine learning and modern algorithmic techniques at scale, and embed best practice into data design. Influence engineering and product teams to adopt robust data … modelling methodologies including 3NF, Dimensional and Data Vault. Strong understanding of modern data platforms and cloud-based architectures. Experience designing data solutions that incorporate machine learning or advanced analytics use cases. Excellent communication and influencing skills, with the ability to engage both technical and non-technical stakeholders. Strong ...

disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds … daily basis, you will be working closely with the sales team to deliver Proof of Concepts and assist with live customer projects for a machine learning platform. Location: Central London 3 days in office/2 days remote Salary: Competitive + bonus + healthcare, pension, etc. Requirements ...

opportunity to take real ownership. The Role In this MLOps Engineer role, you will contribute to the design, deployment and optimisation of production ML systems. Responsibilities include: Supporting data scientists and AI engineers to build, deploy and monitor ML models in production environments. Managing ML lifecycle Designing scalable ML pipelines … training, validation and deployment. Implementing CI/CD workflows for machine learning and maintaining reliable ML endpoints. Working heavily with AWS, including SageMaker, to deliver robust, secure and scalable ML infrastructure. Applying strong engineering standards across cloud, DevOps and automation practices. Contributing to computer vision and broader ML ...

Senior Software Engineer (Python) – Reducing Carbon Emissions with Machine Learning! Python on AWS £90-£110,000 per annum plus stock London Office - 1-2 days a week Are you a Senior Software Engineer with a passion for working with curious, humble colleagues to build exceptional customer-focused products … most exciting scale-ups to find them Senior Software Engineers with exceptional knowledge of building great products in Python on AWS. They use machine learning technology to help tackle climate change by reducing carbon emissions. They are at a critical period in their journey and will be growing ...

make an impact In a team of Product Managers working on our Biometric Product, you will work closely with our Engineer and Machine Learning functions owning the Product Experience. You will play an integral part in streamlining our efforts understanding customer pain points and turning them into usable … closely with our customers to draw requirements from both a technical and security perspective, whiteboard R&D options with various teams of Software and Machine Learning Engineers, productionize and commercialize new features where you see fit, and champion the next generation of usable and inclusive biometric products. What ...

large-scale digital experiences. The team works on forward thinking projects that blend research, experimentation, and hands-on engineering. THE ROLE As a Staff ML Engineer, you'll take the lead on projects focused on anomaly detection in video based or interactive environments. You'll guide technical direction, support junior … engineers, run experiments, and ship models into production. Specifically, you can expect to be involved in the following: Building and improving ML models for anomaly detection Leading research work streams Scoping, planning, and communicating project direction with stakeholders Mentoring juniors Working across areas like self supervised learning, multi modal ...

including Financial Services, Resources, Products, Communications and Health & Public Services. In our team you will learn: How to help clients to use AI/ML technologies to solve business challenges How to design, develop, deploy, and run high quality AI/ML solutions across a range of industries with varying … using emerging technologies on client deliveries and through research Job Qualifications We are looking for experience in the following skills and experience: AI/ML platform technologies and services such as Sagemaker/Vertex/Azure ML, OpenAI, Langchain, AutoML, OCR, STT, feature stores, vector DB Implementation of AI/ ...

role in transforming machine learning prototypes into reliable production systems, defining pragmatic engineering standards, and enabling fast, safe delivery of ML-powered capabilities. The role combines hands-on engineering, architectural ownership, and close collaboration with engineering and product teams. Key Responsibilities Own and scale the organisation's ML … infrastructure and MLOps foundations Design pragmatic, production-ready system architectures that balance speed, reliability, and cost Build and maintain CI/CD pipelines for ML workflows and application delivery Productionise ML models including training, evaluation, deployment, monitoring, and rollback strategies Ensure reliability, observability, security, and performance across ML systems Automate ...

deliver real products used by investment teams and portfolio companies. This role is ideal for: PhD graduates in a STEM field with applied ML, optimization, or computational experience; or Bachelor’s/Master’s graduates with 1–2 years of industry experience or relevant internships in machine learning, data engineering, or software engineering. You’ll contribute to designing, implementing, and deploying production-grade ML systems—ranging from NLP pipelines to model‐driven workflow automation. You’ll learn quickly, gain real ownership, and see your work make tangible business impact. What You’ll Do Build and deliver ML ...

hiring in Miami, London and Milan. Description -- Role: expected to contribute to production grade proprietary trading systems, deploy state of the art AI/ML, develop novel AI/ML models, experiment with and develop novel trading ideas, explore new datasets. -- Required: experience training ML models end to end (from … data processing to fine tuning), experience training across transformers/generative models/RL, publications in either top tier ML conferences (e.g., NeurIPS, ICLR, ICML, JMLR, etc.) or top scientific journals, top tier institutions/industry experiences. -- Positives but not requirement: PhD. Reference: AMC/AHU/NW/SPH001 ...

integrating advanced machine learning directly into their products to outsmart attackers at scale. The Role We are seeking a Senior AI & ML Engineer with a strong foundation in machine learning fundamentals and hands-on experience with modern generative AI and Large Language Models (LLMs). … will work on cutting-edge AI functionality across a flagship cybersecurity platform, building scalable, performant systems that harness the power of data, ML models, and infrastructure. Key Responsibilities: Design, develop, and deploy production-grade ML/AI features — from data prep and model training to inference APIs and monitoring. Integrate ...

Senior Machine Learning Engineer The Role We’re hiring a Senior or Staff ML Research Engineer to join a high growth AI company building advanced proprietary language models that power real world products at scale. This business has strong product market fit and significant enterprise adoption. A large … deployment pipelines For one hire, apply voice and speech expertise to model development 🌟 Required Skills and Experience 5 to 7+ years in AI/ML engineering or applied research Exceptional candidates with 3+ years considered Proven experience fine tuning and deploying LLMs in production Strong hands on reinforcement learning ...

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely … with other engineers on deployment and monitoring Build and optimise ML pipelines using AWS services and experiment tracking tools Develop and integrate LLM-powered solutions for tracing, evaluation, and production monitoring Implement robust experiment tracking, model versioning, and reproducibility practices with full audit trails Design feature engineering approaches and contribute ...

Machine Learning/Data Engineer £700-750/day overall assignment rate to umbrella Fully remote 3-6 month initial Apply today to join a forward-thinking, tech-driven FTSE 100 organisation using data science and AI to enhance customer experience, optimise supply chains and drive sustainable growth ...

complex technical outputs into clear, compelling insights for senior stakeholders. Drive experimentation and optimisation initiatives to improve performance across commercial channels. Champion AI and machine learning innovation, staying ahead of industry best practice. Promote ethical data use, governance and compliance across all analytics initiatives. What You Bring … working with large datasets and distributed computing tools such as Azure Synapse and Snowflake. Familiarity with data transformation tools (Databricks, Azure Data Factory) and ML platforms (Azure ML, TensorFlow). Experience with data visualisation tools such as Power BI. Strong commercial acumen with the ability to translate business problems into ...

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requirements Transition validated experiments into production-ready solutions, working closely ...

HealthKit, Google Health Connect, and a range of connected devices—digital scales, blood pressure cuffs, activity trackers, and continuous glucose monitors. Working closely with ML engineers, you'll create robust interfaces to internal AI APIs that transform patient data into actionable health recommendations. This role offers the opportunity to shape … platforms) Experience with RESTful API design and integration, including real-time data synchronization patterns Proven ability to collaborate with cross-functional teams (product, design, ML) in an agile development environment Familiarity with cloud platforms (GCP, AWS, or Azure) and deploying applications to production Demonstrated ownership mindset with ability to drive ...

Scrum/agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding … Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead ...

Scrum/agile process Participates in on-call support with the rest of the team What you'll bring Extensive e xperience with traditional ML system s and GenAI ( LLMs, agent frameworks ), including proven delivery of GenAI powered search or chatbot solutions in production Working experience and in-depth understanding … Large Language Models (LLMs) - Vector databases and semantic search - Retrieval-Augmented Generation (RAG) Extensive programming expertise , primarily in Python, delivering ML and GenAI solutions with a language-agnostic mindset Familiar with cloud services (e.g. AWS Lambda best practices) Strong team player and confident communicator with experience as a tech lead ...