26 to 50 of 456 Remote/Hybrid Machine Learning Jobs

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. Key Responsibilities: Develop and deploy machine learning models for anomaly detection Build proofs of concept (PoCs) to validate data ...

this is an opportunity to take real ownership, work across the full technology stack, and contribute to a product that blends software, hardware, and machine learning in a genuinely meaningful way. The Role As a Senior Software Engineer, you will play a key role in designing, building … scaling the core platform. Working closely with senior technical leadership, you'll take ownership of backend systems while contributing across infrastructure, mobile, and machine learning integration. This is a hands-on, full-stack engineering role in a startup environment, where you'll be involved in everything from architecture ...

title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning ...

title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating fully automated machine learning ...

financial services and decision-making. They are looking to expand their technology team by hiring an AI Engineer to work on building and deploying machine learning and AI-powered solutions from their London office. The AI Engineer will ideally have the following attributes: Knowledge/experience in Artificial … working with large datasets and building data pipelines Knowledge of cloud platforms such as AWS, GCP, or Azure Experience developing and deploying AI/ML models into production environments Understanding of APIs, microservices, and modern software development practices Ability to work both independently and as part of a collaborative engineering ...

Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world … subscription products or growth analytics Exposure to experimentation/A/B testing environments Experience working in early-stage startups Familiarity with building scalable ML systems or pipelines Commercial mindset - understanding how models impact revenue If you would like to be considered for the role and feel you would ...

real commercial impact from day one. As a Senior Data Scientist, you'll be working at the heart of the business, designing and deploying machine learning models that predict user behaviour, helping clients optimise for revenue, retention, and long-term value rather than just installs. This Senior Data … Experience Must have: Strong experience in machine learning/data science (typically 4-8+ years) Proven experience building and deploying ML models in production Solid understanding of: Churn modelling Propensity modelling Behavioural data analysis Strong Python skills (e.g. Pandas, NumPy, ML libraries) Experience working with real-world ...

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/ ...

Machine Learning Engineer Location: Erskine, Scotland - Hybrid Candidates must be eligible for clearance Were looking for a talented and motivated Machine … Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment click apply for full job details ...

Staff Machine Learning Engineer – AI/ML Information Extraction Remote (Or Hybrid If London based – 2 days) Company Overview My client is a fast-growing, product-led technology business operating within a specialist professional services sector. They provide a SaaS platform used by organisations globally to improve business … with a strong focus on innovation, AI, and scalable product development. The Role My client is looking for a Staff Software Engineer – AI/ML with expertise in Information Extraction to play a key role in advancing their AI capability. This is a hands-on technical leadership role, focused ...

Machine Learning Engineer £Up to £65,000 GBP Competitive Bonus Hybrid WORKING Location: Central London, Greater London - United Kingdom Type: Permanent Machine Learning Engineer Join a high-impact AI and data science consultancy recognised for delivering exceptional outcomes across National Security, Defence, Space, and government sectors ...

What You’ll Do Build and optimise LLM-powered systems Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches Experiment with modern architectures such as Transformers and Mixture-of-Experts Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods … Essential experience Significant experience building, training and deploying machine learning models Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow Experience working with large-scale unstructured data Experience building and deploying production-ready NLP systems Familiarity with API integrations ...

Platform, and Azure AI to create smarter, more human ways of working. You’ll join a collaborative team that values trust, curiosity, and continuous learning, where your ideas don’t just get heard, they actively shape our direction and the solutions we deliver for our clients. Role Overview This … environments Strong hands‐on experience with Microsoft Fabric, including: Lakehouse, warehouses, pipelines, and semantic models Experience with Azure Machine Learning or equivalent ML platforms Proven ability to design and implement AI and data architectures end‐to‐end Experience building AI‐enabled solutions (LLMs, copilots, intelligent automation) Strong understanding ...

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote/London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based … help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction ...

models efficiently on Hopper and Blackwell GPU architectures. Maintain steady biweekly progression within our sprint-based research environment. Implement low-latency, real-time inference ML pipelines using tools such as Triton Inference Server, vLLM, or SGLang. Optimise model performance across cloud platforms using frameworks like TensorRT and ONNX. Build … performance optimisation and cloud platform deployment. Strong background in containerisation and orchestration (Docker, K8s, etc.). Demonstrated ability to deploy and scale low-latency ML pipelines in production. Strong oral and written communication skills. ...

school) Your Job: Energy systems engineering heavily relies on efficient numerical algorithms. In this HDS LEE project, we will use machine learning (ML) along with data from previously solved problem instances to solve new, yet similar, instances more efficiently than with general purpose algorithms such as Newton … Extend the superstructure to tackle AC-PF problems of different complexities and assess its convergence in inference Investigate scaling and performance bottlenecks Explore hybrid ML-classical approaches, the application of meta learning, and the integration of convex optimization layers Increase inference efficiency (e.g., GPU acceleration) and assess the applicability ...

few. Role overview As a Senior Data Scientist, you will use your advanced analytical skills to: Lead the development of cutting-edge, bespoke machine learning predictive models, including risk pricing and classification and regression models Identify and create data solutions that create value Work collaboratively with the pricing … such as area or vehicle classification, as well as predictive models for other business use cases such as conversion, retention or price optimisation Prototype ML solutions before handing to the ML team for implementation Conduct more advanced yet focused research and development to solve business challenges Work collaboratively with other ...

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 ...

Head of AI – 120k – 150k GenAI/Agentic AI – Brighton (Hybrid) – AI-native Scale-up GenAI | Agentic AI | Machine Learning | Python | PyTorch | AI Strategy | LLMs | RAG | MLOps | Leadership |Do you want to lead AI at the core of a truly AI-native business building the next generation … Drive delivery velocity through ambiguity, experimentation and learning You’ll bring: Proven experience leading AI teams delivering commercial products Deep GenAI and classical ML expertise Hands-on experience with Agentic AI, evaluation frameworks, RAG and prompt engineering Strong Python skills (PyTorch, scikit-learn, modern ML frameworks) A commercial mindset ...

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/ ...

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 pipelinesfrom feature engineering and preprocessing to deployment-ready model outputs. Apply advanced techniques such as NLP, time-series forecasting, anomaly detection, optimisation, or LLM/… 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/ ...

critical challenges to the UK’s digital landscape. As a Principal Data Scientist you will: Lead on the continual development of Automation, Orchestration and Machine Learning capabilities Be a People Leader and manage 4-6 individuals Undertake pre-processing of structured and unstructured data Lead … development of predictive models and machine-learning algorithms Coach/mentor junior members of the team What you’ll bring UK DV Clearance or the ability obtain it (https://www.gov.uk/government/publications/united-kingdom-security-vetting-clearancelevels/national-security-vetting-clearance-levels ...

business value Iterate and scale solutions into production-ready systems Upskill and mentor client teams as part of delivery Key Responsibilities Design and build machine learning/AI solutions using Azure-based technologies Work across the full lifecycle: problem definition data exploration model development deployment and optimisation Deliver … Lead workshops, assessments, and client engagements Support the development of reusable frameworks and best practices Key Skills & Experience Strong experience in Data Science/Machine Learning roles Hands-on expertise with: Python (Pandas, NumPy, Scikit-learn, etc.) SQL Experience working within Azure data environments , ideally: Azure Machine ...

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 ...