1 to 25 of 30 Remote/Hybrid Contract Machine Learning Jobs

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 ...

Industry: FTSE 100 - Insurance We are seeking a highly skilled and motivated Python Developer with experience in Google Cloud Platform (GCP), Microsoft Azure, and Machine Learning technologies. The ideal candidate will be responsible for developing scalable solutions, deploying machine learning models, and integrating cloud-based services … using cutting-edge technologies. Key Responsibilities Design, develop, and maintain scalable Python applications. Build and deploy machine learning models on cloud platforms (GCP and Azure). Develop, test, and optimize machine learning algorithms for various business use cases. Implement and manage cloud infrastructure ...

taking ownership of complex, Enterprise - Level AI Transformations getting Hands-On with the Engineering required to move Theoretical Models into robust, Production-Grade ML systems. Role Overview: You will be stepping in as the Technical Lead for Large - Scale Enterprise Client s across Europe. You'll advise stakeholders on complex … Fluent in English . Bonus Points for those that speak both English & Spanish to work directly with Local Stakeholders. Who Should Apply: The ML Ops Veteran: Excellent Hands-On Experience building Distributed Machine Learning Pipelines & Production ML Systems at an Enterprise Scale. The Client-Facing Engineer ...

Duration: 6-month contract (FTC/Subcon) role Hybrid 3 days onsite Location:Sheffield The Role You will design and build Python-based ML and OCR components, taking ownership of the full lifecycle-from initial requirement gathering with stakeholders to deployment and production support. Core Responsibilities Model Development: Build … closely with Product Managers and technical teams to translate business needs into scalable AI solutions. Innovation: Continuously test and improve existing features using traditional ML and Generative AI. Technical Requirements Mandatory Skills: Azure Machine Learning: Proven experience within the Azure ecosystem. Document AI: Strong background in Intelligent Document ...

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 ...

Model Context Protocols, A2A Protocols, Agent Developeer Kit and working experience with LLMs Expertise in deploying production grade GenAI solutions, including evaluation and optimizations; Machine Learning deployments on AWS, Azure or GCP Extensive hands-on data science experience, leveraging machine learning and data science tools (i.e. ...

optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines. Collaborate with cross-functional teams, including operations, data science, and Product, to define requirements and deliver robust solutions. Monitor, troubleshoot … Quicksuite, and AWS SageMaker. Strong programming skills in Python, Java, or similar languages commonly used for AI and automation. Experience in designing and operationalising machine learning models in a production environment. Excellent problem-solving skills and the ability to work collaboratively in a fast-paced setting. Strong communication ...

aircraft moving efficiently in one of the most operationally complex industries in the world. What You'll Do Build and deploy applied statistics, machine learning and optimisation models that support mission-critical operational decisions. Work closely with data engineers, understanding their workflows and collaborating to take models from … exposure to integer programming, MIP, MILP, and applied optimisation. Experience with optimisation tools such as CPLEX, MATLAB, OR-Tools, or similar. Some exposure to machine learning methods. Ability to build and industrialise Python-based data products. Exceptional communication and storytelling abilities-able to interrogate both data and stakeholders. ...

clearance Location: Hybrid - primarily remote with occasional onsite work in the South West (exact location disclosed confidentially) Key Responsibilities: Design and implement AI/ML solutions on Google Cloud Platform Build and deploy models using Vertex AI Develop machine learning pipelines and production AI services Integrate AI models … solutions comply with security and public sector requirements Required Skills & Experience: Strong commercial experience with Google Cloud Platform (GCP) Proven experience delivering AI/Machine Learning solutions Hands-on experience with Vertex AI Experience working in agile delivery teams Desirable Skills: Google Cloud certifications Experience working in government ...

Role/Job Title: AI & ML Senior Engineer Work Location: London The JJ Mack Building, 33 Charterhouse St, EC1M 6HA Mode of Working: Hybrid If Hybrid, how many days are required in office?: Minimum 2 days in office The Role Were looking for an AI & ML Senior Engineer to join … growing ML Engineering team. Youll work alongside data scientists, engineers, and product managers to develop, deploy, and operate robust ML systems that power key services across our Digital and Retail platforms. This role focuses on ML Ops and ML Platform development, helping us to scale and maintain production-ready ML ...

design, implementation and delivery of Automated Intelligence capabilities. This role requires strong technical expertise, stakeholder management and a deep understanding of automation, AI/ML integration and secure-environment delivery. Key Responsibilities: Design and Development Design, build and deploy automation solutions integrating AI/ML models into existing systems … recommendations for further optimisation. Required Skills and Experience Technical Skills: Strong proficiency in programming languages such as Python, Java, C# or R. Experience with machine learning frameworks and libraries (e.g. TensorFlow, PyTorch, Scikit-learn). Familiarity with cloud platforms (AWS, Azure or Google Cloud) and MLOps practices. Knowledge ...

design artefacts, including documentation • Knowledge of working with contemporary technologies and concepts e.g. MBE, MBSE, digital twins, simulated environments, AR/VR, AI/ML, IoT, etc. • Demonstrates understanding, knowledge and Knowledge of Systems Engineering with a focus on software-based product development including knowledge of appropriate Systems Engineering ...

Vector, Tabular data Configuring CI/CD pipelines Managing data storage within an AWS environment Improving data automation, workflow and efficiency Developing Python based ML pipelines K ey skills for this role include: Good knowledge of Python programming Experience in cloud computing (ideally AWS) Strong experience across industries in both … Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases Bright Purple is an equal opportunities employer: we are proud to work with clients ...

engineering stack and cloud-native architecture Collaborative team environment Opportunity to influence platform architecture and data pipelines How to Apply If youre an Applied ML Contractor looking a new exciting opportunity working focused on real operational decision systems, get in touch. Please apply if interested and well aim to respond ...

London, UK) Contract Duration : Initial 612 months Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling to deployment About … improve models in production Participate in technical discussions, code reviews, and agile delivery Required Skills & Experience Essential 36+ years commercial experience in Applied ML or Data Science Strong Python (pandas, numpy, sklearn or similar) Strong SQL Experience building and iterating on predictive models Conditional (must meet at least ...

cloud-native security practices and experience integrating security controls into CI/CD pipelines, helping support ongoing digital transformation and automation initiatives. AI/ML in Security Operations Exposure to leveraging artificial intelligence or machine learning techniques to improve threat detection, incident analysis, or automated response capabilities within ...

maintain data quality, governance, and lineage . Partner with senior business leaders to translate strategic requirements into actionable analytics . Support advanced analytics and machine learning initiatives where required. What We're Looking For Proven experience at Head of/Lead/Senior Manager level (or equivalent ...

/2026) Windows 11 development Desirable Skills Experience in hardware control or interfacing software with physical devices. Software architecture and technical leadership. Image processing, ML/AI, or C++. This position offers the opportunity to join an increasingly software-centric R&D group where your work manages complex physical systems ...

occasional onsite visits required. Key Responsibilities AI software development and prototyping Proof of Concept (PoC) development Working with LLM stacks (e.g. Ollama + LangChain) Machine learning development using Scikit … learn Transitioning solutions from synthetic data environments to production data Working within Agile Scrum delivery teams Key Skills & Experience Strong experience in AI/ML software development Hands-on experience with LLM frameworks and orchestration tools Experience developing and validating PoCs Strong understanding of productionising AI solutions Experience working ...

engage both technical and creative stakeholders Desirable Experience with web-based 3D technologies including Three.js, WebGL or shader development Exposure to AI or machine-learning driven creative workflows Previous experience within digital agencies, creative studios or innovation environments Role and Responsibilities: Creative Technology Leadership Lead development of high … Recruitment regarding this newly created contract role working as a Senior Front End Developer (Creative Technology) on an Inside IR35 basis; as well as learning more about our client and how they are leading the way in developing the next generation of technology solutions within their sector through innovation ...

optimise network control processes. Utilise AWS Bedrock, AWS Quicksuite, and AWS SageMaker, AWS Quicksuite and AWS Connect to build, deploy, and maintain scalable machine learning and automation pipelines click apply for full job details ...

engage both technical and creative stakeholders Desirable Experience with web-based 3D technologies including Three.js, WebGL or shader development Exposure to AI or machine-learning driven creative workflows Previous experience within digital agencies, creative studios or innovation environments Applications: Please contact Edward here at ISR Recruitment to learn ...

London, UK) Contract Duration : Initial 612 months Rate : Competitive Why this role? Real-World Impact: Build models that directly influence live fleet operations Applied ML Focus: Time-series, geospatial data, optimisation problems Complex Systems: High-volume, real-time operational data Autonomy: End-to-end ownership from modelling to deployment About ...

reactivation journeys Develop omnichannel engagement patterns (email, SMS, push, in-app, real-time triggers) Lead personalization and real-time decisioning architecture (CDP, segmentation, ML models) Design campaign orchestration, eligibility logic, and compliant suppression rules Define architecture for incentive/bonus systems and associated risk-mitigation controls Embed compliance-by-design ...

preparing, enriching, and documenting data using semantic models, Lakehouses and data warehouses to enable insightful analysis. Automation Proficiency: Utilize multiple automation technologies, including AI, ML, Power Automate and Power Apps, to streamline data access and empower developers and analysts. Transform & Test Data: Transform and rigorously test data using dataflows, procedures ...