26 to 50 of 116 Contract Machine Learning Jobs

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 ...

Data Scientist | Outside IR35 | 6 Months | £400 - £450 | You’ll be joining a multidisciplinary team made up of data scientists, ML engineers, software developers, and subject-matter experts, working together to solve complex problems using advanced analytics. The focus is on applying machine learning techniques to large-scale … doing: Designing and refining machine learning models to identify, diagnose, and predict faults in wind turbines Using a combination of signal processing, ML, and reliability-focused approaches on operational data Developing probabilistic models to assess component health and predict remaining useful life Turning complex outputs into clear, usable ...

shape, design and deliver AI solutions to our clients. This is a fast-paced area of IT, so you will need to be continuously learning, be self-driven and think creatively about solving client problems. You will work with others to reflect back the views of our clients … agentic solutions using platforms such as Claude Code, Claude Agent SDK, Codex, and related AI engineering toolchains. Developing and optimizing AI models using machine learning and AI engineering platforms. Mentoring and guiding team members to foster a culture of continuous learning and innovation in AI. Skills ...

Swindon. This is an exciting opportunity to work on data-driven initiatives that support critical services and decision-making. Key Responsibilities Develop and deploy machine learning and AI models to solve complex business problems Analyse large datasets to generate actionable insights Collaborate with stakeholders across technical … findings clearly to support strategic decisions Key Requirements Proven experience working as a Data Scientist within the public sector Strong expertise in AI and machine learning techniques Proficiency in Python/R and relevant data science libraries Experience with data manipulation, modelling, and visualisation Strong communication skills ...

Solutions Architect - AI - Machine Learning - London Hybrid (3 days onsite) Are you passionate about building practical AI solutions that drive real-world impact across delivery, operations, and workforce management-not just theoretical proofs of concept? What you'll be doing Designing and implementing AI and machine learning … reporting and MI across multiple delivery teams. What we're looking for Strong track record designing and delivering AI/ML solutions in an enterprise environment. Experience applying AI within Agile delivery, operations, or workforce management contexts. Background in large-scale enterprise transformations in financial services or similar regulated environments. ...

tier consultancy firm is currently seeking an experienced Data Scientist to join a dynamic team focused on leveraging Large Language Models (LLMs) and advanced machine learning to drive tangible business value. This is a pivotal role where you will take ownership of the end-to-end model lifecycle … following essential skills Strong experience with Machine Learning and LLMs (such as GPT or BERT). Proficient in Python and standard ML libraries. Skilled at crafting and testing prompts to get the best out of AI models. Able to clean, process, and manage large datasets for training. Great ...

through to deployment and optimization. Design, develop and scale time series forecasting models to drive business decision-making Work cross-functionally with Data Engineers, ML Engineers and product teams to deliver production-ready solutions Translate complex data science concepts into clear, actionable insights for both technical and non-technical stakeholders … track record of solving complex problems Expertise in time series forecasting (e.g. demand forecasting, trend modelling, seasonality analysis) Solid foundation in statistical modelling and machine learning theory Proficiency in Python and experience working with large, complex datasets using SQL and Spark Ability to manage multiple priorities across ...

deploy agentic workflows, RAG pipelines, and LLM powered applications for internal and customer facing products Work across structured and unstructured data, collaborating closely with Machine Learning and GenAI specialists Own cloud based deployment, CI/CD, and productionisation of models and services Partner with product managers, engineers … scope projects Communicate progress and outcomes clearly, building trust through delivery and technical leadership This role sits within a balanced team of traditional ML and GenAI specialists, with exposure to both classic modelling and modern AI use cases. Your Skills and Experience Strong Data Science fundamentals and experience delivering classical ...

teams to drive AI capability forward, while remaining hands-on with model development, optimisation, and deployment. Key Responsibilities Design and build advanced AI/ML solutions for complex data-driven challenges Develop and optimise Generative AI models and LLM-based applications Work with transformer architectures, SLMs, convolutional models, and related … Small Language Models (SLMs) Transformer architectures Convolutional models Experience designing and optimising graph databases Experience building MCP servers Proven ability to apply AI and ML techniques to solve complex data problems Experience delivering scalable and repeatable AI solutions Generative AI (GenAI) experience is essential Due to the nature ...

high-trust, delivery-focused environment where technical quality, judgement and real-world impact are valued. The team operates collaboratively, sharing knowledge and learning through delivery rather than theory alone. You will be trusted to manage your own work, engage directly with customers and stakeholders, and take responsibility for outcomes. … engagement - Work directly with users and customers to understand real-world needs and translate them into well-defined AI problems - Apply modern AI and machine learning techniques using strong Python engineering skills - Build solutions that can operate in secure, constrained or offline environments without reliance on external services ...

Salary: Competitive day rate (DOE) IR35 Status: TBC Duration: Initial 6 months (extension likely) A leading organisation is seeking a Senior Artificial Intelligence/Machine Learning Engineer to join a high-impact programme focused on far-field voice and real-time audio intelligence click apply for full ...

monitoring, exception management, document processing, and notification workflows) to eliminate manual tasks in supply operations processes * AI & Analytics: Support development based on AI/ML-based tools for decision support, data analysis, predictive capabilities, and operational insights within Supply Operations team * Digitalization: Support the digital transformation roadmap by building prototypes … Analytics, or related technical discipline * Proven experience in process automation (Python, Power Automate, Power Apps, UiPath, or similar technologies) * Working knowledge of AI/ML tools and frameworks (e.g., machine learning libraries, NLP, generative AI applications, AI copilots, or automation agents) * Experience with data manipulation and visualization ...

emerging trends in LLMs, GenAI, and AI tooling Experience Required Strong commercial experience (typically 4-8+ years) in software engineering, data science, or machine learning Proven experience building and deploying LLM/Generative AI applications in production environments Hands-on experience with RAG architectures, embeddings, and vector ...

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 ...

Senior ML Platform Engineer London 5 Days a Week In Office £550-£700 Per Day, Outside IR35 Immediate Start The Company They are a technically ambitious organisation building advanced machine learning systems tightly integrated with real-world systems. Their platform supports the full lifecycle from data collection through … data collection and dataset workflows. Design and maintain robust recording and orchestration systems that scale across robots, sensors, and lab environments. Collaborate with the ML team on dataset builders, ingestion pipelines, and infrastructure supporting large-scale distributed training. Partner with robotics engineers on ROS2 integration, on-robot deployment, and clean ...

utilising strong experience in metadata management. Collaborate with data engineers to develop data, enrich product design, and integrate data for predictive models or machine learning. Deliver well-defined, transformed, tested, documented, and code-reviewed datasets for analysis. Evaluate and recommend improvements in data flow, influencing and supporting architects ...

ship with confidence. Key Skills: - Solid programming skills in Python (plus experience with web libraries like FastAPI, Flask, or Django) - Hands-on experience with ML model deployment and monitoring in production Knowledge of containerization (Docker) - Experience with CI/CD pipelines and cloud environments (we use Azure) Assignment Objectives - Implement … improve model monitoring and operational controls for AI/ML systems. - Build and maintain robust ML pipelines for training, deployment, and monitoring - Develop backend systems and APIs that integrate AI into our SaaS platform - Take ownership of the ML performance, monitoring, availability, and security - Define drift, unexpected-output ...

/ELT processes Data transformation Data orchestration Version control and release management Experience working in Agile delivery teams. Desirable Experience Exposure to AI, Machine Learning or Generative AI initiatives. Knowledge of data governance and data quality frameworks. Experience working within complex enterprise environments. Familiarity with CI/ ...

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 ...

replication/CDC - Qlik Replicate, Oracle Golden Gate Data modeling - ERStudio Message-oriented data movement API design and access Data Analytics and AL/ML - AzureML Data virtualization Streaming data Data integration and ETL/ELT Tools - Matillion, Alteryx, Qlik PowerBI Machine Learning, Generative AI and Agentic AI. ...

people-management position. You'll lead through technical depth, judgement, and delivery , building the tooling, workflows, and operational foundations that allow data scientists and ML engineers to experiment, deploy, and run ML and LLM-based workloads safely and at scale . The focus is not simply on running Kubernetes clusters … scalable inference and LLM-based workloads Build and operate model serving and inference platforms within Kubernetes environments Work closely with data scientists and ML engineers to ensure the platform is usable, well-documented, and aligned to real workflows Own platform operability, reliability, security, and supportability in production Troubleshoot complex issues ...

Experience Strong experience in software engineering, delivering complex distributed or microservice-based systems. Proven capability building and operating production applications with embedded AI or machine learning features. Strong programming skills in languages such as Java, Python, or Node.js, with exposure to modern frontend frameworks where relevant. Solid experience ...

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. ...

business strategies Nice to Have Skills: Experience in econometrics and difference-in-differences analysis Familiarity with cloud data platforms and visualization tools Knowledge of machine learning algorithms and advanced statistical techniques Previous experience in consulting or client-facing roles Preferred Education and Experience: Bachelor’s or Master ...

Snowflake Define data architecture roadmaps aligned to business and AI strategies Drive data modelling, governance, integration and interoperability standards Architect solutions supporting analytics, machine learning and AI use cases Provide technical leadership across data engineering, analytics and AI delivery teams Establish best practice around security, privacy, compliance, metadata ...