76 to 100 of 852 Machine Learning Jobs in London

Machine Learning Ops Engineer Role Overview Were hiring an ML Ops Engineer to own the reliability, scalability, and operational integrity of our machine-learning systems in research & production. This role sits at the intersection of data engineering and ML infrastructure: youll design and operate data pipelines ...

Lead Machine Learning Engineer £Up to £125000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Reference: AMC/ERO/Lead Machine Learning Engineer Postcode: SW1 #erro ...

Lead Machine Learning Engineer £Up to £125000 GBP Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Reference: AMC/ERO/Lead Machine Learning Engineer Postcode: SW1 JBG81_UKTJ click apply for full job details ...

Opportunity: Machine Learning Engineer Location: London (Hybrid) Clearance: SC or DV Clearable Salary: £140,000 + Benefits I'm currently on the lookout for several Machine Learning Engineers to join a fast growing engineering team at a cutting edge tech company developing advanced computer vision solutions … platform. Technical Skills Required: Strong Python engineering skills Experience in computer vision (object detection, tracking, depth estimation, 3D/SLAM) Proven experience deploying ML/CV models into production Experience with PyTorch, OpenCV, and ML tooling (e.g. Lightning, W&B) Familiarity with ONNX/TensorRT is a plus Strong understanding ...

Machine Learning Engineer (MLOps Python LLM AWS) London/WFH to £90k Are you a senior Machine Learning Engineer looking for an opportunity to take ownership, working on complex and interesting systems? You could be progressing your career in a hands-on technical leadership role ...

Demand Consultant - Machine Learning Integration (BPSS) Rate: £90/hr | Mostly WFH (some visits to Walton-on-Thames) Clearance: BPSS We are seeking a SAP IBP Demand Consultant to support the productionisation … external Python-based forecasting algorithm . The role focuses on integrating external forecast outputs into SAP IBP , moving beyond a pure IBP demand ML implementation. The Role Work with SAP IBP Demand modules with a strong statistical/ML background Integrate external forecasting methods into IBP Support promotions planning , ensuring ...

Contract Machine Learning/Data Scientist (SC Cleared) We are seeking an experienced Machine … Learning/Data Scientist for an exciting contract opportunity. This role requires active SC clearance and a strong background in building and deploying ML solutions within cloud environments click apply for full job details ...

most trusted sports data to some of the world's biggest organizations, across sports, media, and broadcasting. Through the latest AI technologies and machine learning, we combine decades' worth of data with the latest in-game happenings. We then offer coaches, teams, professional bodies, and media channels around … 3+ years of experience working as a data scientist (or similar role). Expert proficiency of Python and experience using SQL, alongside using common ML/AI packages (TensorFlow, PyTorch, XGBoost, etc.). Familiarity with statistical (e.g. GLM, GAMs) and deep learning techniques (e.g. neural networks, transformers, diffusion models ...

intricate business challenges and translation into technical problem statements.. Working with diverse datasets, both internal and external.. Expert application and development of advanced machine learning or statistical modelling techniques to generate actionable insights and deliver measurable impact.· Provide hands-on technical mentorship and guidance to junior … proficiency in Python (and R) for data science, coupled with SQL capabilities for data manipulation and extraction.· Demonstrable mastery in a wide range of machine learning and statistical modelling techniques, from classical linear models and tree-based methods to advanced deep learning architectures.· Practical experience with ...

this team plays a critical role in defining the next generation of their offering. The Role Lead the end-to-end development of new ML and AI capabilities, from rapid prototyping through to production deployment. Build MVPs and collaborate closely with Engineering and Product teams to bring ideas to life. … scalable systems. Contribute to product strategy through strong experimentation, technical insight, and pragmatic decision-making. Your Skills and Experience Strong experience delivering production-grade ML systems end to end. Proficiency in Python and SQL, with experience working on cloud-scale datasets. Practical experience with LLMs and applied AI, such ...

making Collaborate with data engineers, analysts, product managers, and domain experts to translate business requirements into well defined modelling tasks Build end to end ML pipelines-from feature engineering and preprocessing to deployment ready model outputs Apply advanced techniques such as NLP, time series forecasting, anomaly detection, optimisation … exploratory data analysis Familiarity with LLMs, NLP techniques, and GenAI frameworks, including embeddings, prompt engineering, or fine tuning Experience building end to end ML pipelines, including model validation, optimisation, deployment, and monitoring Understanding of MLOps practices, including model versioning, model registries, CI/CD for ML, and automated training/ ...

Opportunity: Machine Learning Engineer Location: London (Hybrid) Clearance: SC or DV Clearable Salary: £140,000 + Benefits I'm currently on the lookout for several Machine Learning Engineers to join a fast growing engineering team at a cutting edge tech company developing advanced computer vision solutions ...

strengthening operational resilience, and helping organisations realise the full potential of an AI enabled future. Key Responsibilities Build and ship production ready AI/ML features-from data ingestion and feature engineering to model training, evaluation, and deployment Develop LLM/GenAI solutions (prompt engineering, tool use, guardrails … reviews, write unit/integration/e2e tests (including data and prompt tests), and uphold engineering standards and documentation Work with advanced AI/ML frameworks, cloud services, and container orchestration platforms As an AI Engineer, you are responsible for designing, building, and deploying scalable AI and machine learning ...

Software Development, you will oversee the architecture, development, and delivery of all software components, spanning web applications, backend systems, and Machine Learning (ML) infrastructure. You will also be a key partner to the heads of Hardware, Design Engineering, and Animal Science, ensuring software is seamlessly integrated with physical … team while collaborating with cross‐functional leaders to drive innovation. Responsibilities Technical Leadership Define, implement, and scale the software architecture across web, backend, and ML systems. Maintain strong engineering standards for code quality, security, testing, and deployment. Lead key technical initiatives, contributing code and architecture reviews. Drive integration of software ...

developers and researchers. 🛠️ Skills and Experience 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML). Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch. Proven experience building and deploying applications with LLM APIs such as OpenAI … 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. ...

prototyping Implementing MLOps best practices (CI/CD, monitoring, retraining pipelines) Translating business and stakeholder needs into scalable technical solutions Continuously improving AI/ML systems, frameworks, and performance What We’re Looking For We’re looking for individuals who combine strong technical ability with curiosity and a problem-solving … mindset. Strong Python skills Experience building ML models using frameworks like PyTorch, TensorFlow, or scikit-learn Hands-on experience with LLMs (prompting, RAG, fine-tuning, agents) Understanding of MLOps principles and tools (e.g. MLflow, DVC, Weights & Biases) Experience deploying solutions in AWS or cloud environments Familiarity with Docker, CI/ ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … needs of GS engineers. Be part of our continual drive to innovate and uplift our platforms to take advantage of new technologies (such as machine learning, cloud platforms) Provide technical guidance and support to other team members and stakeholders. Stay up to date with the latest industry trends ...

Senior Data Scientist | Lead Data Scientist | Technical Lead | Python | ML | Data Engineering | Cloud | 2 Days a week central London | £85,000 base + 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 Government organisations … 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 ...

want to build AI systems that let users query complex datasets in natural language? Have you worked with machine learning models and wondered how they can power conversational analytics? Are you ready to apply LLMs and advanced analytics to financial market data? A London-based AI software company … financial users Key Details • Salary: £65,000 – £70,000 • Working model: Hybrid, 1 day per week in Canary Wharf, London • Tech stack: Python, ML algorithms, NLP, LLMs, AWS • Visa sponsorship: Not confirmed Interested? Please apply below. ...

About the Company You will own the machine learning and computer vision components of the YEO CFR SDK. This means the facial recognition model, the three-layer passive liveness detection system (software depth analysis, pixelation detection, rPPG), anti-spoofing performance, and injection attack countermeasures. You will work alongside … pulse signal in variable lighting, at varying distances, on devices with no depth sensor, at frame rates as low as 15fps. Qualifications Tools & proficiency ML Frameworks: PyTorch (expert — primary training), TFLite (expert — Android/iOS inference), CoreML (strong — iOS Neural Engine), ONNX (strong — cross-platform interop), MediaPipe (competent — Android face ...

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 ...

designed with platform capabilities, data quality, performance and scalability in mind. Principal responsibilities Identify and define new data product opportunities enabled by advanced analytics, machine learning and large-scale data processing Evaluate and test emerging AI technologies and analytical techniques and their suitability for use within our Customer … customer needs into technical product requirements and delivery specifications Lead rapid prototyping and proof-of-concept development using Databricks notebooks, analytical outputs and machine learning techniques to validate product concepts Own technical product definition, including data structures, feature sets, scoring methodologies, model architectures and delivery formats in collaboration ...

clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity … needs of GS engineers. Be part of our continual drive to innovate and uplift our platforms to take advantage of new technologies (such as machine learning, cloud platforms). Provide technical guidance and support to other team members and stakeholders. Stay up to date with the latest industry ...

leading UK organisation undergoing a significant AI-led transformation. This role sits within a high-performing Data Science team focused on delivering advanced machine learning solutions that directly influence customer experience, product innovation and business strategy. This is a position for someone who wants to operate … technical excellence, commercial impact and strategic delivery , working on complex, high-value AI initiatives. Key responsibilities Lead the end-to-end development of machine learning models, from concept through to production Design and deploy advanced solutions including recommender systems, generative AI and optimisation models Translate complex business challenges ...

backed by leading healthcare and AI investors like Khosla Ventures, Village Global, Headline, Eric Yuan (CEO of Zoom), and others. Position Overview As an ML Ops Engineer at Circadia Health , you will own the infrastructure and operational lifecycle of the machine learning systems that power our clinical monitoring … platform. You will build and maintain the production ML pipelines, deployment infrastructure, and monitoring systems that enable Circadia's predictive models to identify early signs of clinical deterioration. Reporting to the Principal ML Engineer, you will work across ML, backend, data, and clinical teams to ensure models are reliably trained ...