25 of 25 Remote/Hybrid Contract Machine Learning Jobs

Senior Machine Learning Engineer Location: London Hybrid | Salary: £60-£80ph – Outside IR35 Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning solutions for complex real-world applications. Due to continued growth, they are looking for a Senior Machine Learning … with CUDA for GPU acceleration. Python and PyTorch experience. Knowledge of Transformers, computer vision or image analysis. Postgraduate or commercial experience within AI/Machine Learning This is an exciting opportunity to work on cutting-edge AI research, developing advanced machine learning technologies that will directly ...

combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows … ML issues in live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex ...

expanding its team and looking to bring in several Machine Learning Engineers . You'll help design and deploy data pipelines, ML models, and production systems that deliver real-time insights and automation throughout the business. This role is ideal for someone with strong software engineering fundamentals, hands … data experience, and a passion for building scalable, high-quality ML and data solutions in production environments. Essential Experience Strong programming skills in Python (Pandas, NumPy, etc.). Proficiency in SQL for data querying and transformation. Hands-on experience with Machine Learning techniques and frameworks (e.g., scikit-learn ...

Machine Learning Engineer/Data Scientist (SC Cleared) Location: Hybrid (2-3 days per week onsite Victoria, London) Rate: £570 per day (Inside IR35) Security Clearance: Active SC Clearance is essential We're looking for an experienced Machine Learning Engineer/Data Scientist to take ownership … live supervised machine learning models already running in production within a government environment click apply for full job details ...

Machine Learning Engineer £700- 750 pd via Umbrella Initially for 6 months with long term potential Mostly remote, 1 day per month in London A leading business is expanding its team and looking to bring in several Machine Learning Engineers click apply for full job details ...

Machine Learning Engineer £700-750/day overall assignment rate to umbrella Fully remote 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 click apply ...

Duration: 6 Months (Initial Duration) Start: ASAP Location: London (Hybrid) Pay Rate: £450 - £480 per day Specialism(s): AI Strategy, Artificial Intelligence, Generative AI, Machine Learning, Large Language Models (LLMs), AI Agents, Conversational AI, Intelligent Automation, Robotic Process Automation (RPA), Data Science, Data Analytics, Predictive Analytics, Natural Language … platforms such as Salesforce, AWS, Microsoft technologies, data platforms, or AI agent frameworks. * Familiarity with AI-assisted development tools and automation technologies. * Understanding of machine learning fundamentals. * Experience supporting the adoption of new technology within business teams. * A consulting, technology, startup, or other fast-paced commercial background. ...

looking for a junior cheminformatics scientist to join a Genetic Medicine team. You'll use computer-based chemistry methods and AI/machine learning to help explore and design lipid molecules used in targeted lipid nanoparticles (a type of drug-delivery particle). You'll help build … looking for patterns that affect how well they work. Help build and improve a virtual library of lipid designs, using data analysis, AI/ML tools, and chemical know-how. Build and test models that predict how a lipid's structure affects its real-world performance. Create processes to select ...

viable software and infrastructure, typically using our core stack: React, Typescript, Material UI, Node.js, Python, PostgreSQL, Docker, Kubernetes, Helm, AWS Work with internal colleagues (ML Engineers, ML Scientists, Product Managers etc) and external project partners to understand technical requirements, constraints and delivery priorities. Use code review, pair programming, mentoring … issues and trade-offs clearly to non-specialists. Desirable Experience architecting and designing complex distributed software systems for cloud environments. Experience developing and deploying machine learning, AI or data-driven systems in production or near-production settings. Technical Lead and/or Line Manager experience. Why Join ...

This is a hands-on role where youll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development. The Role As a Data Engineer, youll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud … Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps) . Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute ...

This is a hands-on role where youll spend most of your time designing, building and maintaining data solutions, with plenty of opportunity for learning and professional development. The Role As a Data Engineer, youll help build and operate reliable, scalable data infrastructure and pipelines across an AWS cloud … Apply Infrastructure as Code (IaC) to support data pipelines and processing workflows on AWS. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps) . Work closely with data scientists, analysts and engineers to translate analytical and operational requirements into effective data solutions. Contribute ...

Finance transformation experience. Excellent communication and stakeholder management skills. Desirable Skills TOGAF, DAMA-DMBOK, or similar architecture frameworks. Experience supporting AI, advanced analytics, and machine learning initiatives. Knowledge of SQL and/or Python. LeanIX, ARIS, or other Enterprise Architecture tooling. Geospatial data and digital twin experience. Agile ...

multi-person team delivering production services Experience with large-scale biological datasets Experience working with the Apache Parquet file format Experience implementing AI/ML approaches for quality control and/or genome annotation Behaviours we value in our team: You bring curiosity, enthusiasm, and a focus on impact ...

Establish programme governance, reporting, metrics, and delivery mechanisms to provide transparency and drive accountability **Coordinate the development and deployment of data platforms, AI/ML capabilities, data quality solutions, and operational workflows **Ensure adherence to data governance, security, privacy, regulatory, and AI risk management requirements Skills & Experience: **Strong experience leading … large-scale technology, data, or AI programmes **Proven experience delivering enterprise data platforms, analytics, AI/ML, or digital transformation initiatives **Strong understanding of data management, data governance, cloud platforms, analytics, and AI/ML lifecycles **Strong experience with data quality, metadata management, master data management, knowledge graphs, or data ...

established international platform across the UK and Canadian markets. Day to day responsibilities include: Production System Health: Oversee, refresh, and retrain the live ML model suite without needing to overhaul the underlying architecture. Keep an eye on model performance and drift. Commercial Analytics: Monitor baseline UK/CA performance metrics … Stack: Advanced SQL and Python (or R ) skills to maintain existing codebases and pipelines. Model Stewardship: Practical expertise in monitoring, troubleshooting, and retraining live ML models. Autonomous Operator: High self-direction to manage daily BAU operations with minimal oversight. Clear Communicator: Able to translate complex technical issues into actionable business ...

Skills and Experience you must have: Strong experience in AI Product management, AI Strategy and engineering Hands-on experience building and scaling AI or machine learning products in production environments. Experience understanding LLMs RAG Architecture and agentic workflows Excellent experience with Python. Excellent experience working with AI platforms ...

need At least two years of recent, hands-on Databricks experience Evidence of delivering Databricks solutions into production environments An active Databricks Data Engineering, Machine Learning or Generative AI certification Strong experience implementing Medallion Architecture across Bronze, Silver and Gold layers Hands-on Unity Catalog experience covering catalog ...

. It will cover Threat hunting, analysis, monitoring, Optimising, reporting, alerting and investigation activity utilising a wide variety of security platforms including AI/ML and behavioural analytics, SIEM (Security Information Event Management), Network Packet Capture platform, Anti Malicious Code, Threat Detection technologies and platforms across the UK Network Perimeter ...

growing, high-impact international organisation is seeking a hands-on Senior Data Scientist to take ownership of the day-to-day analytics engine and machine learning models for an established international platform across the UK and Canadian markets click apply for full job details ...

virtual switches. Experience in setting up, implementing and maintenance of cyber security tooling. Experience with the creation, testing and maintenance of AI or machine learning technologies to assist with the optimisation of work flows or play books. Experience with SIEM (Security Information Event Management) technologies ...

pipelines integrating large volumes of disparate commercial data Translate data assets into actionable business strategy and long-term analytics roadmap Apply advanced statistical/ML methods to uncover patterns in high-dimensional data Solve cross-domain problems (commercial risk, business failure, fraud detection) with engineering, product, and strategy teams Communicate …/scorecard life cycle knowledge (sampling, WoE, scaling) Git and CI/CD workflow experience Hands-on cloud development experience (GCP preferred) Exposure to ML methods (XGBoost, Random Forests, Neural Networks) and traditional stats (Logistic Regression) Awareness of data security, governance, and model risk management standards Nice to Have ...

credential handling for external and internal integrations. Build end-to-end data flows from source through governed ingestion and curated layers to BI, ML or application consumption. Required Hands-on Technical Skills Deep hands-on Azure Databricks implementation and troubleshooting Databricks Serverless and compute/workload optimisation Azure identity, networking … RStudio migration or consolidation experience. Migration of analytical/data science workloads (convert and migrate R development/Libraries to Databricks). AI/ML, LLM integration, model lifecycle, RAG/vector retrieval or model-serving experience. Large-scale enterprise platform transformation and regulated-industry experience. Strong cost optimisation ...

LangGraph, LangChain, Haystack or similar , together with the ability to work below the framework level when required. Experience designing and deploying AI/ML systems into genuine production environments. Strong understanding of model inference, latency, performance, data pipelines, state, memory and tool/function calling. Experience building search and retrieval … development principles, including ISO 27001, NIST or OWASP. Experience within defence, national security or other highly regulated environments. Contributions to open-source AI/ML projects. Security Clearance Due to the nature of the work, applicants must be eligible to obtain UK security clearance . Candidates will generally need ...

Modelling. Lead AI solution architecture across a complex enterprise environment. Develop architecture principles, design standards and governance frameworks. Assess AI ecosystem capabilities, including LLM, ML and AI coding technologies. Define AI operating model and organisational design options. Evaluate build, buy and hybrid approaches and provide recommendations. Provide architecture guidance across … target architecture. Essential Skills & Experience Strong experience in Enterprise AI Architecture or AI Solution Architecture. Strong understanding of modern AI ecosystems, including LLMs, ML and AI-powered development. Experience designing enterprise data architectures and complex integrations. Strong understanding of AI governance, security, risk and responsible AI principles. Experience developing ...

direction and roadmap Translating complex technical considerations into clear recommendations for technical and business stakeholders Exploring the application of emerging technologies including AI/ML and Digital Twins What are we looking for? Strong Solutions Architecture experience, particularly within greenfield environments Databricks experience - essential Strong API architecture and design experience … assess technology options and make clear architectural recommendations Ability to understand the bigger picture and establish a clear technical pathway Experience with AI/ML, Digital Twins or other emerging technologies would be highly desirable Previous energy sector experience would be a strong advantage Microservices experience ...