1 to 25 of 43 Remote/Hybrid Contract Machine Learning Jobs

role is ideal for someone who combines strong statistical and machine learning expertise with hands-on experience productionising models and building scalable ML systems. Machine Learning Engineer, key skills: Strong experience in Python (e.g. pandas, scikit-learn, NumPy, TensorFlow/PyTorch) Proven experience in model productionisation … deployment in real-world environments Hands-on experience with MLOps, including CI/CD for ML, versioning, and monitoring Experience with cloud platforms (e.g. AWS, Azure, or GCP) and containerisation (Docker, Kubernetes) Experience building data pipelines and working with large datasets (SQL, Spark or similar) Strong understanding of machine ...

hands-on engineering role, working closely with data scientists, analysts, architects, and product teams to productionise models, build data pipelines, and embed ML capabilities into live services. Key Requirements Active Security Clearance (SC) - must be current and transferable Proven experience as a Machine Learning Engineer within central government … regulated environments Strong programming skills in Python (e.g. Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch) Experience building and deploying ML models into production environments Strong knowledge of cloud platforms, particularly: Azure (ML Studio, Azure ML, Data Factory, Synapse) Experience in AWS environments is beneficial Experience with MLOps practices and tools ...

that supports machine learning workflow execution and deployment. Optimise data processing systems for throughput, scalability and efficiency. Collaborate closely with Data Engineers, ML Engineers and Research teams to deliver high-quality datasets and platform capabilities. Identify and resolve bottlenecks, performance issues and system failures. Contribute to engineering best … collaboration skills. Desirable Experience Experience working within large-scale data or platform engineering environments. Exposure to machine learning infrastructure, pipelines or production ML systems. Experience supporting data processing frameworks, orchestration platforms or workflow tooling. Familiarity with JVM-based distributed systems. Experience working within highly scalable cloud or distributed ...

Active SC required We're hiring an experienced SC-cleared Data Scientist to support a high-profile central government programme delivering advanced analytics and machine-learning solutions. This role is focused on turning complex datasets into predictive insight and deployable models that directly inform policy and operational decision … understanding of machine-learning techniques (supervised, unsupervised, model evaluation) Experience with MLOps practices, including: Model versioning and deployment CI/CD for ML workflows Monitoring and performance management Experience working with cloud-based data platforms ( AWS and/or Azure ) Strong statistical knowledge and ability to explain complex ...

global leading business is hiring a Senior Machine Learning Engineer. Hybrid position. Paying up to £1000 per day. Outside IR35 Experience and skills required for the Senior Machine Learning Engineer, Quantisation, PEFT, DeepSpeed, ONNX, TensorRT, PyTorch, multi-LoRa, LoRA Exchange, TitanML ️ In depth experience with … following Machine Learning: Quantization, PEFT, DeepSpeed, ONNX, TensorRT Deep Learning with PyTorch Experience with Strong experience working with inference servers like multi-LoRa, LoRA Exchange, TitanML ️ Previous industry exposure to multi-node HPC clusters ️ Experience with Large language models - OpenAI, Mistral, Claude, LLaMA Large language model ...

/Machine Learning Engineer NLP/LLM - Contract Manchester, UK Job type Full-time Job Description AI/Machine Learning Engineer NLP/LLM - Contract Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully remote, with occasional ad-hoc travel … office The Role: A technology-focused organisation is seeking a Contract Machine Learning Engineer/Data Scientist to support the development of next-generation AI solutions. This is an exciting opportunity to play a key role in designing and training Large Language Models from the ground ...

specialist for machine learning and GenAI. Working closely with data engineering, analytics, QA and product, you will build the foundations for scalable ML and AI use cases across the organisation. Key responsibilities include: Owning and delivering end-to-end ML and GenAI solutions, from data preparation through … production deployment. Designing and building robust ML pipelines, CI/CD processes and MLOps frameworks. Leading GenAI initiatives such as document processing, LLM fine-tuning, prompt engineering and orchestration using modern frameworks. Organising and processing large, complex datasets to enable AI and ML use cases. Acting ...

just proof-of-concept models Strong hands-on experience using Python as a primary programming language Experience working within Databricks (notebooks, pipelines, or ML workflows) A strong mathematical and statistical background , with confidence in applying theory to real commercial problems Role Overview You will lead the development and delivery … roles within a commercial environment Strong proficiency in Python and SQL Hands-on experience with Databricks in a production or enterprise setting Experience with ML pipelines, version control (Git), and CI/CD workflows Exposure to MLflow or similar model tracking/deployment tools Strong foundation in statistics, probability, linear ...

ML Ops/ML Engineer - MUST HAVE SC CLEARANCE - Portsmouth and remote - 2 months+/RATE: £525 per day inside OR35 (MLOps, ML-Ops, ML Ops, ML/Ops, Machine Learning) One of our Blue Chip Clients is urgently looking for a ML Ops/ML Engineer. …/Kubernetes) DevSecOps (continuous integration, automation, security scanning) Scripting: Bash/Linux/Python Understanding/ability to work in air gapped environments Understanding ML concepts and tools (MLFlow, Airflow) Cloud skills (AWS + Google) Skills: Docker ML Ops AWS Python Bash Kubernetes Docker Containerization Please send CV for full ...

real-time audio intelligence. This contract role is based in London with hybrid working and will suit someone who can combine strong applied ML capability with solid software engineering and production delivery experience. You will help build and improve machine learning models and cloud services that enable natural … responsive voice experiences across consumer devices and partner ecosystems. You will design, develop, train and optimise scalable ML models for areas such as far-field voice detection, speaker verification, wake-word/keyword spotting, and audio enhancement. You will contribute to applied innovation across speech and audio signal processing ...

forefront of AI-driven customer engagement. Their focus is on enabling highly personalised, real-time decisions across digital channels using advanced analytics and machine learning. The business combines deep domain expertise with strong delivery capability, supporting enterprise clients across multiple sectors. The Role and Deliverables You will take ownership … data science delivery, from problem definition through to deployment in live environments.* Design, build, and deploy machine learning models within Pega-based decisioning platforms.* Lead model development across feature engineering, training, validation, and ongoing performance monitoring.* Work closely with application and logic developers to embed models into operational ...

Company They are a large, data driven organisation operating at scale, with a strong focus on using advanced analytics and machine learning to inform decision making. The business invests heavily in its data platforms and engineering capability, creating an environment where robust MLOps practices are essential. Teams … engineering within production environments. Hands on capability with Palantir Foundry, including pipelines and operational workflows. Solid Python skills and experience supporting end to end ML lifecycles. Practical knowledge of CI/CD, containerisation and cloud based infrastructure. Confidence working with complex data systems and multiple stakeholders. How to Apply ...

looking for a Data Scientist to design, build, and deploy production-ready statistical and machine learning models that power advanced analytics. You'll work across a multidisciplinary team to deliver scalable, interpretable solutions using Python and robust modelling techniques . Client Details Our client is a globally recognised … strategic decision-making in complex and evolving markets. Description Develop and deploy production-level code and scalable data pipelines Build and optimise statistical and machine learning models for risk and analytics use cases Work extensively in Python to analyse large, complex datasets Extract insights from both structured ...

retail brand that is investing heavily in customer data, personalisation, and AI to transform how it engages with millions of customers. Data and machine learning are at the heart of their strategy, driving more relevant customer experiences, personalised marketing, and customer-centric decision-making across the business. They … Opportunity As the Data Science Manager, you'll lead both the technical direction and development of the team, helping shape the roadmap for how machine learning and advanced analytics are used to better understand customers and deliver personalised experiences at scale. You will be responsible for translating complex ...

knowledge graph systems. Ensure data quality, security, and compliance with governance standards. Collaborate with data scientists and architects to support graph-based analytics and machine learning use cases. Monitor, troubleshoot, and enhance data pipelines for performance and reliability. Contribute to best practices in data engineering, documentation, and data … complex technical concepts clearly. Proven ability to work collaboratively in distributed, global teams. Desirable Skills Experience with large-scale distributed data systems. Familiarity with machine learning pipelines and graph analytics. Understanding of data governance, metadata management, and semantic technologies. Experience working in Agile delivery environments. What We Offer ...

/GitHub Actions) Familiarity with Java Familiarity with Google Cloud Platform or AWS Familiarity with data modelling techniques for AI (Artificial Intelligence) and ML (Machine Learning) applications Familiarity with Neo4J or other graph databases is an added advantage Familiarity with data visualisation (Tableau, PowerBI) Knowledge of, or affinity ...

technical execution, ensuring compliance with data governance, security, and ethical AI standards. Key Responsibilities: Strategy & Design: Define end-to-end architectures for AI, ML, and data solutions on Google Cloud Platform (GCP) while ensuring alignment to platform strategy and security controls. Technical Leadership: Deliver high-quality solutions using GCP cloud … Learning, and AI tools. Experience with large-scale data migrations is a plus! Architecture Leadership: Ability to design orchestrations for AI and ML systems, articulating trade-offs and leading design decisions. Communication Skills: Exceptional ability to convey complex technical concepts and represent the lab's technical direction ...

using data and AI responsibly at scale. The business operates in a complex environment where reliability, security and governance are essential. Data, analytics and machine learning teams work closely together, supported by a central platform function focused on operational excellence. The Role and Deliverables … Lead platform releases and upgrades, including planning, testing, communication and rollback where required. Implement and maintain security, risk and compliance controls for data and machine learning workloads. Manage the platform roadmap, cost optimisation activities and key supplier relationships. Your Skills & Experience Strong experience operating Palantir platforms in production ...

architectures and messaging technologies Experience building data-intensive applications Knowledge of infrastructure-as-code practices Bonus Skills Any commercial or personal experience with AI, Machine Learning, Generative AI, or Large Language Models (LLMs) would be highly beneficial, including: Integrating LLM APIs into applications Building AI-powered features ...

requirements into robust software solutions. Champion software engineering best practices: documentation, testing, version control, and security. Evaluate and adopt emerging technologies, including AI/ML tools, to improve developer productivity and system capabilities. Contribute to grant applications, publications, and presentations relating to software infrastructure where appropriate. You have Degree ...

Athena, Redshift, EC2, CloudWatch, IAM) and event-driven patterns. Certifications (nice to have) AWS Certified Cloud Practitioner (or higher), Azure AI Fundamentals (awareness of ML/AI services). This role requires additional vetting, which means this could take longer than our normal onboarding process. All profiles will be reviewed ...

Civil Service or public sector environments. * Interest in AI safety, AI evaluation methodologies or educational technology. * Experience working closely with data science, AI or machine learning teams. * Exposure to modern AI engineering practices and frontier AI models. Qualifications * Undergraduate degree in a STEM discipline or equivalent commercial experience. ...

Experience implementing governance frameworks and best practices for AI systems. Strong problem-solving and analytical skills. Desirable Experience Experience with Azure AI Studio, Azure Machine Learning, or Cognitive Services. Familiarity with DevOps practices and CI/CD pipelines within the Microsoft ecosystem. Experience integrating AI solutions with Microsoft ...

databases, graph databases and NoSQL systems; Familiarity with Linux/Unix environments; Experience with collaborative development tools such as Jira and Confluence; Experience with machine learning approaches, ideally in the context of data discovery. Apply now! Benefits and Contract Information Financial incentives: depending on circumstances, monthly family/ ...

regulated environments Strong understanding of ethical frameworks for data and AI (e.g. fairness, accountability, transparency, explainability) Experience applying ethical principles to AI/ML models and data-driven products Knowledge of UK regulatory and ethical standards (e.g. GDPR, ICO guidance, AI assurance frameworks) Familiarity with bias detection, mitigation, and fairness … multidisciplinary teams Responsibilities Define and implement data ethics and responsible AI frameworks aligned to government standards Assess ethical risks in data use, analytics, and machine learning models Provide guidance on fairness, bias mitigation, transparency, and explainability Review and challenge data-driven solutions to ensure ethical compliance and public ...