226 to 250 of 1,356 Machine Learning Jobs in the UK

Description White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using ...

Description White Collar Factory (95009), United Kingdom, London, London Lead Data Scientist - Deep Learning Practitioner About this role Our Data Science team focuses on the development of Machine Learning and Deep Learning solutions, to solve business problems and deliver actionable insights. We are a talented, collaborative … insights from complex data, working in close collaboration with our business partners. This role will primarily focus on leading the development of proprietary deep learning models to address critical business challenges in underwriting. The role will also involve supporting our business partners as they develop advanced servicing products using ...

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/ ...

Lead ML Engineer - Onsite 4 days a week - London. Can offer sponsorship from any continent location Europe, Russia, USA, etc An Edtech Start-up in London are building something transformative in the education space using cutting-edge machine learning. We're looking for a Lead ML Engineer to take … machine learning strategy, build out the team, and help shape the future of AI in education. Responsibilities: Build and lead a new ML team from the ground up. Define the tech stack for data pipelines and ML models. Develop generative models using diverse datasets (text, audio, video, test ...

Senior ML & AI Engineer Remote Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan … shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands ...

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 ...

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 ...

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 ...

Python Software Engineer/Developer (Data ML) Remote Uk to £75k Are you a data savvy Python Software Engineer? You could be progressing your career in as a hands-on Python Software Engineer role as part of a friendly and supportive international team at a growing and hugely successful European … at scale across all countries where the company operates. You'll design and develop reliable systems and shared capabilities that support the full ML lifecycle, from experimentation to production, taking a lead role in developing platform tools, shared services and infrastructure. Collaborating closely with product managers and stakeholders, including ...

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 ...

frameworks, implementing best practices for data modelling, and supporting analytics and visualization teams. The ideal candidate should also have worked knowledge of AI/ML data pipelines and experience in the hospitality domain, supporting systems such as reservations, guest management, and operational analytics. Key Responsibilities Design and implement scalable data … checks, automated testing, and documentation using DBT. Collaborate with BI and analytics teams to deliver reliable datasets for dashboards and reporting. Support AI/ML initiatives by preparing and managing data pipelines for machine learning and predictive analytics use cases. Implement data governance, role-based access control ...

White Collar Factory (95009), United Kingdom, London, London Engineering Manager - Software & ML About this role We are looking for a Software Engineering Manager who brings a solid foundation in modern development and some experience with Machine Learning environments . You'll lead and grow a team that builds … integrate software features that are vital to the lives of credit card consumers. Nurture Talent: Coach and nurture your engineers, including those working on ML integration to achieve their technical, business, and personal goals. Bridge the Gap: Collaborate with Product Managers and Data Scientists to ensure ML models are effectively ...

Processing Engineer/Deep Learning Engineer/Optical Systems Engineer/Tracking Algorithm Specialist/Sensor Integration Engineer/R&D Engineer/ML Engineer/Algorithm Developer/Vision Software Engineer/Embedded Vision Engineer/Object Detection/Kalman Filter/Python/Blob Detection/Optical … Components/AI/ML/CV Development Engineer/AI Software Engineer/Machine Learning Engineer/Computer Vision Engineer/AI Research Engineer/ML Research Engineer/Computer Vision Software Developer ...

that traditionally relies on physical wet labs. This is an opportunity to work within a high-calibre, founder-led team developing tools that combine machine learning, data infrastructure, and modern web technologies to transform how biological research is conducted. You’ll play a key role in building scalable … APIs Experience building developer platforms or internal tooling Knowledge of SQL and/or NoSQL databases AI/Machine Learning Exposure to ML/AI workflows or data science tooling Experience with MLflow or model tracking systems Scientific/Data Applications Experience working with scientific or bioinformatics datasets ...

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 ...

systems Creating AI agents that can reason, plan, and execute tasks Running large-scale experiments on complex datasets Developing tools and infrastructure to accelerate ML research Collaborating with world-class researchers and engineers Turning ideas into real, scalable systems ⚙️ What You Bring Strong coding skills in Python Hands-on experience … experiment, and execute 🌟 Bonus Points Experience with AI agents or autonomous systems Research background (PhD/publications/projects) Experience working with large-scale ML systems 💡 Why This Role? Work on frontier AI problems few teams in the world are solving Build systems that could transform how research is done ...

Your new role As a Data & Statistical Modelling Engineer, you'll join a highly collaborative Innovation Services team, developing statistical and machine-learning models to understand and predict variation in advanced manufacturing processes.You'll work closely with process, materials and software engineers to identify and control key variables … growing fleet of additive manufacturing machines. Your work will directly influence production reliability, quality and performance. Key responsibilities include: Developing and maintaining statistical and ML models to analyse machine and material performance data Building and refining data pipelines to post-process experimental and operational data Collecting experimental data ...

data science, Statistics, Computer Science, Mathematics, or similar Experience delivering predictive analytics or machine learning solutions Strong skills in Python, SQL, and ML libraries (e.g. scikit-learn, XGBoost, PyTorch, TensorFlow) Hands-on experience with AWS ML services (SageMaker, Lambda, Redshift) Ability to clearly communicate insights to non-technical … stakeholders Strong analytical thinking, collaboration skills, and a results-driven mindset Role responsibilities: Build, tune, and maintain predictive and ML models using AWS SageMaker Analyse large datasets and perform feature engineering to improve model performance Run experiments, test hypotheses, and optimise models for accuracy and value Monitor model performance ...

combine technical excellence with consulting impact across major clients and industries. What You'll Do Develop and deliver data science solutions using Python and machine learning (predictive, classification, forecasting, deep learning). Lead or support Generative AI/LLM projects, building or evaluating models tailored to customer … science or analytics experience (typically around 5 years). Proven track record with Generative AI and LLM-based solutions. Strong proficiency in Python and machine learning techniques. Solid knowledge of customer or marketing analytics. Background in consulting, in-house analytics, or agency environments. Excellent communication and problem-solving ...

checked): 2–4 years of hands-on experience in data science, machine learning, or applied statistics. Strong Python skills with experience in ML frameworks such as scikit-learn, PyTorch, TensorFlow, or similar. Solid grounding in statistics — hypothesis testing, regression, correlation analysis, and experimental design. Experience with … company works heavily with survey data and measurement validation. Spark, Databricks, or distributed computing experience. Published research or an academic background in statistics, ML, or a quantitative field. What's on Offer Salary of £45,000–£60,000 depending on experience, with bi-annual salary reviews. Remote-first, flexible working ...

Strong grounding in statistical modelling, natural language processing, time-series analysis, or advanced mathematical modelling Experience delivering AI solutions across the full ML lifecycle, from experimentation to production deployment Ability to design and implement scalable AI/ML solutions in collaboration with engineering and architecture teams Experience working within consulting … deploying AI solutions into production environments Experience working with Agentic and Generative AI platforms or large language models Desirable Experience: Experience defining AI/ML roadmaps and shaping enterprise AI strategies Exposure to responsible AI principles and governance frameworks Experience scaling AI solutions from prototype to live production environments Industry ...

data team. This is a hybrid role with the expectation to be in the London office 1-2 times per week. Key Responsibilities Deploy ML models as real-time endpoints using Amazon SageMaker * Build and manage batch inference pipelines * Implement CI/CD workflows for ML using Git-based processes … Stack Amazon SageMaker | Amazon S3 | Amazon Redshift | AWS Lambda | Amazon CloudWatch | AWS IAM What We're Looking For Strong hands-on experience with AWS ML infrastructure Experience deploying and monitoring ML models in production Proficiency in Python and SQL Knowledge of Docker and CI/CD pipelines Experience with Infrastructure ...

CUDA/GPU Systems Engineer (ML Infra) Remote We’re partnering with a well-funded AI company building advanced multi-agent systems. They’re looking for engineers with experience working close to the GPU layer. This is a CUDA-heavy role focused on improving the performance of large-scale machine learning systems. You’ll be solving problems like: Optimising CUDA kernels for ML workloads Improving GPU utilisation and memory efficiency Profiling and debugging GPU bottlenecks Accelerating training and inference pipelines Working alongside ML researchers building multi-agent AI systems Essentials: Strong CUDA/GPU programming experience Experience writing ...

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 ...