1 to 25 of 31 Remote/Hybrid Contract Machine Learning Jobs

Agent Engineer/Machine Learning Engineer SC Cleared | Remote | £465/day Inside IR35 | Initial 3-Month Contract We're working with a leading software company specialising in Enterprise AI and digital transformation. Their AI platform enables organisations to securely connect, discover and utilise enterprise data to power … driven search, intelligent automation and regulatory compliance. They are looking for an SC Cleared AI Agent and Machine Learning Engineer to join their team from August, supporting the delivery of an exciting Central Government programme helping to develop intelligent AI agents and machine learning capabilities that ...

Learning Engineer £700-750/day outside IR35 Remote working - once a month in Bristol 3-month initial contract MUST have experience of ML in Snowflake. Looking for a Machine Learning Engineer to lead a migration of ML capabilities from existing AWS Sagemaker to Snowflake ML - will … need to proof out can existing ML models work in Snowflake. This role will also drive optimisation of ML capabilities within Snowflake. Machine Learning Engineer, key skills: Strong hands-on experience with Snowflake ML Python expertise - Scikit-Learn, TensorFlow, Pytorch etc Strong understanding of model deployment MLOps - experienced ...

will be designing and building AI-enabled software systems that support complex operational environments. The role will involve developing scalable backend services, integrating machine learning models into production systems, and contributing to the architecture of secure, cloud-native platforms. This is a hands-on engineering role suited … NEED THE AI SOFTWARE ENGINEER TO HAVE. Active UKSV DV clearance Strong software engineering background with Python Experience building and deploying AI/machine learning applications Knowledge of LLMs, NLP, or generative AI frameworks Experience with AWS or Azure Familiarity with Docker and Kubernetes Experience working in secure ...

looking for a GCP Data Engineer to join a multidisciplinary team responsible for building and operating robust, cloud-native data infrastructure that supports ML workloads, particularly PyTorch-based pipelines. The Role You'll focus on designing, building, and maintaining scalable data pipelines and storage systems in BigQuery, supporting ML teams … Nice to Have Experience with additional GCP services, such as: Cloud Run Cloud SQL Cloud Scheduler Exposure to machine learning workflows (not ML engineering) Some pharma or life sciences experience, or a genuine interest in working with domain-specific scientific data Please send your ...

drug discovery. This is a key role focused on designing, building, and deploying scalable software platforms that enable the integration of AI/ML capabilities into production environments. You'll work closely with software engineers, data engineers, data scientists, and research teams to deliver high-quality solutions that accelerate scientific … APIs for Python-based web applications. Design, deploy, and manage cloud-native infrastructure to support data-driven applications and services. Integrate AI/ML models and services with frontend applications, data platforms, and compute environments. Deliver high-quality software solutions following engineering best practices, including automated testing, documentation, and code ...

business insights. Integrate data from multiple sources including web, app, transactional and operational systems. Develop robust data models to support predictive analytics and machine learning initiatives. Collaborate with data scientists, analysts and business stakeholders to understand requirements and deliver effective data solutions. Ensure data quality, reliability and performance … Experience Experience with customer data platforms, customer analytics or personalisation initiatives. Experience with cloud data platforms (e.g. Azure, AWS or GCP). Experience supporting machine learning or predictive analytics solutions. Experience working in agile delivery environments. About You You will be a technically strong Data Engineer ...

organisation supporting scientific information, intelligence, and data-driven decision-making across research and development as part of a highly experienced team with plenty of learning and training opportunities. The company has a highly collaborative environment where data science, AI, and scientific expertise are combined to generate insights from biomedical … stakeholders Strong communication and organisational skills as regular interaction with a range of stakeholders is a core part of the job Experience with NLP, machine learning, scientific datasets, or biomedical literature is a significant advantage - preferably gained from working in a pharmaceutical, biotech diagnostics, CRO or consultancy company ...

role also offers exposure to areas such as data warehousing, self-service reporting, data governance and the technical preparation needed for ethical AI and machine learning activity. The organisation offers a strong benefits package, and the hybrid pattern provides a sensible balance between office collaboration and focused work … would also be beneficial, as would familiarity with public sector, economic development or strategic reporting frameworks. Knowledge of ethical AI or preparing data for machine learning would also be relevant. This is a hybrid role based in Central London, with 1-2 days per week expected ...

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 ...

governance. You will be responsible for designing scalable matching architectures across multiple data sources, improving linkage accuracy and performance, and supporting AI and machine learning-led matching approaches where appropriate. Alongside technical delivery, you will engage regularly with senior stakeholders and contribute to programme documentation and governance activities. … record models, survivorship rules and data standardisation frameworks Experience measuring and optimising matching performance, including accuracy, precision, recall and scalability Exposure to AI and Machine Learning techniques for data matching and entity resolution Strong AWS cloud architecture experience Excellent stakeholder management and communication skills Current SC Clearance ...

working within Agile delivery environments. Desirable Experience Databricks certifications. Kafka or Structured Streaming. CI/CD and DevOps practices. Docker and Kubernetes. Exposure to Machine Learning pipelines. Experience within Financial Services or other highly regulated environments. About You You'll be an experienced Data Engineer or Technical Lead ...

Skills: ServiceNow integration or development experience. SAP integration experience. Azure Integration Services, MuleSoft, Boomi, webMethods or similar middleware. Microsoft Azure, AWS or GCP. AI, machine learning or intelligent automation technologies. Docker, Kubernetes and containerised applications. CI/CD pipelines and DevOps practices. What We're Looking ...

Server SSAS Tabular (DAX), Dimensional Modelling, Data Warehousing. Ecosystem & Management: Azure DevOps, SQL MI/DB, Active Batch, APIs, Event Hub, Kafka, AI/ML concepts. Randstad Technologies is acting as an Employment Business in relation to this vacancy. ...

Google Cloud Platform, etc; You will own engineering efforts to provide partner teams within the organisation with data sources that build the AI/ML user experience. This a 12 months contract Hybrid role with the opportunity for the role to go permanent. What You'll Do: Build and maintain ...

data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated … where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What youll need ...

data scientists working on the data processing and analytical capabilities. Spend most of your time on hands-on technical work with support for learning and professional development. Design, build and maintain scalable data pipelines to ingest, transform and process large and complex data sources. This can include automated … where necessary to support data pipelines and processing workflows on our AWS-based infrastructure. Design and maintain systems for data version control and reproducible machine learning workflows (MLOps). Work with analysts, data scientists, and engineers to translate analytical and operational requirements into data-solutions. What youll need ...

transitioned into production by engineering teams. Exploratory Data Science & Modelling Explore structured and unstructured datasets to identify patterns and opportunities Build proof-of-concept ML and statistical models Apply NLP and semantic techniques to classify, compare and relate text data Test and evaluate different modelling approaches NLP & Text Analytics Work … Strong experience as a Data Scientist or Applied Data Scientist Hands-on experience with NLP and text analytics Strong understanding of statistical modelling and ML techniques Experience building prototypes/PoCs rather than purely production systems Python (or R) for data science and modelling Familiarity with techniques such as embeddings ...

Kubernetes & Helm - Elasticsearch & Kibana - Infrastructure as Code (Bicep) - CI/CD pipelines Desirable - Microsoft Entra ID - Azure API Management - Azure Log Analytics - Azure Machine Learning Studio - Knowledge of RBAC, monitoring, auditing and enterprise security. Experience - Proven commercial experience developing cloud-based applications using Node.js, TypeScript and Azure. - Experience ...

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 ...

Analytics Customer Insights CRM Billing & Charging BSS/OSS Digital Channels & Self-Service APIs & Systems Integration Cloud Data Platforms (AWS, Azure or GCP) AI, Machine Learning or Advanced Analytics Key Skills Product Strategy Product Roadmaps Scrum Agile Delivery Data Products Data Platforms Customer Data Analytics Product Discovery Backlog ...

government programme using AI, machine learning and computer vision to solve real-world national challenges. You'll build scalable data pipelines and ML infrastructure alongside a specialist consultancy renowned for delivering mission-critical solutions, working with modern technologies in a secure, cutting-edge environment Key Skills required: - PyTorch … TensorFlow - SciKit - Airflow or Prefect - ML flow (really nice to have) - Python - SQL - Data Modelling This role will require an active SC Clearance and British Citizenship is required due to the secure nature of the project. We are an equal opportunities employer and welcome applications from all suitably qualified persons ...

product instinct; senior leadership. Core Competencies: Strong AI, cybersecurity , and software engineering experience. Experience with LLM s and frontier AI models rather than traditional machine learning alone. Deep technical expertise and ability to actively contribute to engineering work. Exploit development/offensive security experience. Experience helping organisations strengthen ...

policy enforcement, investigations, escalations, and marketplace integrity. Strong knowledge of counterfeit products, prohibited listings, unsafe products, and marketplace abuse. Experience with AI/LLMs, Machine Learning, data labelling, model evaluation, and process automation . Strong SQL and analytical skills for reporting, trend analysis, and performance monitoring. Develop operational ...

Background : Degree in life sciences, data science, a related field or have equivilent working experinece Basic programming skills Excellent analytical skills Experience with NLP, machine learning, or scientific data would be an advantage Familiarity with metadata, ontologies, or knowledge graphs Company: Our client is a global biopharmaceutical company ...

stakeholders and translating complex tech into real-world impact What we're looking for: Strong experience across software engineering, data platforms, and AI/ML Proven leadership in DevOps, cloud, and modern engineering practices Experience delivering in innovative or regulated environments Ability to operate in ambiguity and influence at senior ...