1 to 25 of 34 Contract Machine Learning Jobs in England

learning to drive innovation in the fintech space, we want to hear from you! Key Skills & Experience Required: Expertise in AI/ML model deployment processes and a strong understanding of the ML life cycle. Proven experience with CI/CD, DevOps, and MLOps, especially in supporting and … improving production systems Strong familiarity with web server and API designs for ML model deployments. Experienced in Real time - Data Science Applications. Proficient Python skills, including experience with relevant data libraries. Cloud engineering experience, particularly with AWS and Databricks.Exposure to GenAI/NLP, MLflow, Jenkins, workflow automation, AutoML, unit testing … a Machine Learning Engineer, you will be a pivotal part of our team, focusing on: Experienced in Developing and deploying AI/ML models to improve efficiency and security in payment processes. Optimising the ML life cycle, ensuring seamless integration from development to production. Collaborating with cross-functional More ❯

learning to drive innovation in the fintech space, we want to hear from you! Key Skills & Experience Required: Expertise in AI/ML model deployment processes and a strong understanding of the ML life cycle. Experienced in Real time - Data Science Applications is essential Proven experience with CI …/CD, DevOps, and MLOps, especially in supporting and improving production systems Strong familiarity with web server and API designs for ML model deployments. Proficient Python skills, including experience with relevant data libraries. Cloud engineering experience, particularly with AWS and Databricks. Exposure to GenAI/NLP, MLflow, Jenkins, workflow automation … a Machine Learning Engineer, you will be a pivotal part of our team, focusing on: Experienced in Developing and deploying AI/ML models to improve efficiency and security in payment processes. Optimising the ML life cycle, ensuring seamless integration from development to production. Collaborating with cross-functional More ❯

looking for a Senior AWS Machine Learning Data Engineer to a cutting-edge team on a contract basis, working on high-impact ML solutions that scale. About the Role: In this role, you'll lead the design and implementation of data pipelines and ML infrastructure on AWS. You … ll collaborate with data scientists, architects, and product teams to deliver production-grade ML systems across a variety of domains — from predictive analytics to real-time personalization. ? What You'll Do: Architect and build scalable, secure, and maintainable data pipelines on AWS (Glue, Lambda, Step Functions, S3, Redshift, etc.) Operationalize … for structured and unstructured data Integrate CI/CD and MLOps best practices for rapid model iteration and deployment Collaborate across teams to align ML engineering efforts with business needs ? What We're Looking For: 5+ years of data engineering experience, with 2+ years in a senior role Deep expertise More ❯

insights from complex crime and intelligence data, supporting data-driven decision-making in crime prevention, investigations, and public safety. This involves leveraging statistical modelling, machine learning, and other data science techniques to identify patterns, predict trends, and generate intelligence that informs policing strategies. EXPERIENCE: 5+ years of experience … world problems, preferably in a public sector. Good experience of working with large and complex datasets and handling sensitive data. Experience with predictive modelling, machine learning, data visualizations and dashboards. SKILLS ATTRIBUTES Proficiency in statistical modelling and machine learning techniques. This includes skills in regression analysis More ❯

Senior AI/ML Engineer United Kingdom - Fully Remote Day rate - up to £650 a day outside IR35 Duration - 3 months (High possibility for extention) A pioneering UK-based life sciences and healthcare technology company, is on a mission to revolutionize the clinical trial industry through innovative AI-driven solutions. … are focused on addressing critical challenges in patient identification, recruitment, and the effectiveness of therapeutics. Role Overview: They are seeking a Senior AI/ML Engineer with expertise in Large Language Models (LLMs), inference optimization, and clinical fine-tuning. This full-time hybrid position allows you to develop and deploy … learning models to ensure scalability, reliability, and efficiency in both cloud-based and on-premises deployments. Required Qualifications: Strong experience in AI/ML development focusing on LLMs and biomedical NLP. Proficiency in deep learning frameworks (TensorFlow, PyTorch). Experience with MLOps tools and cloud environments (AWS, Azure More ❯

role. Additionally, you will be responsible for automating ETL workflows that feed into machine learning features, enhancing the efficiency and accuracy of ML models. Responsibilities: Develop and maintain SQL models and macros using DBT Collaborate with stakeholders to gather and refine modelling requirements Debug and enhance existing data … models Design and implement ETL/ELT workflows and data pipelines using Azure Data Factory Automate ETL workflows to support machine learning features Apply best practices for data governance, quality, and performance Utilise Azure Databricks and adhere to code-based deployment practices Essential Skills: Over 3 years of More ❯

the hunt for a highly skilled MLOps Engineer to join a cutting-edge project with a leading client. If you're passionate about deploying ML solutions at scale and love working with Azure and Python, this is the role for you. Location: Hybrid - 2 days/week onsite in Wokingham … Do: Design and implement end-to-end MLOps pipelines using Azure Machine Learning Collaborate with data scientists to deploy, monitor, and maintain ML models in production Automate workflows for model training, testing, deployment, and performance tracking Contribute to CI/CD processes using Azure DevOps What You Bring … Proven MLOps experience in Azure Strong Python programming skills Solid understanding of machine learning models and life cycle Bonus points for hands-on with Azure DevOps Pipelines , Docker, or MLflow More ❯

a structured approach to firmware design following standards such as RTCA DO-254 or similar. Employ cryptography and anti-tamper techniques. Incorporate Artificial Intelligence, machine learning, and genetic algorithms into designs. Use various electronics test methods and equipment. Collaborate effectively within mixed discipline teams. Job Requirements: Experience with … and Simulink. Understanding of firmware design approaches following standards like RTCA DO-254. Knowledge of cryptography and anti-tamper techniques. Experience with Artificial Intelligence, machine learning, and genetic algorithms. Expertise in electronics test methods and equipment. Good verbal and written communication skills. Educational background in Electronic Engineering, Computer More ❯

Location: Remote/Hybrid About the Role: We are seeking a Senior or Lead Data Scientist with deep expertise in Generative AI, NLP, Deep Learning, and Machine Learning to join an innovation-focused AI Center of Excellence. In this role, you'll help … design, develop, and implement cutting-edge AI solutions that drive transformation across the organization. Key Responsibilities: Lead the development and deployment of AI/ML models with a focus on LLMs, NLP, and deep learning. Collaborate with cross-functional teams to integrate AI capabilities into products and workflows. Conduct research … related field. 7+ years of experience in data science with a focus on Generative AI and NLP. Strong Python programming skills and proficiency with ML frameworks (PyTorch, TensorFlow). Experience with containerization tools (Docker, Kubernetes) and cloud platforms (AWS, Azure). Strong problem-solving ability and excellent communication skills. Preferred More ❯

with large-scale, high-concurrency systems and ensuring high availability. Previous experience managing globally distributed teams, fostering collaboration across time zones. Experience in building machine learning solutions and data-driven software is a plus. You Have a Passion For: Solving complex data challenges and turning raw data into More ❯

of machine learning and relevant frameworks as PyTorch and/or Tensorflow A strong research focus with first author publications in reputable ML/AI conferences/journals PhD student or graduate in either computer science/engineering ML/AI, statistics, maths, or similar Excellent Python and More ❯

per day to be based onsite, skills required PowerBI ideally with Cognos TM1, MS Fabric, SQL, DAX Power Query, data manipulation and querying, ML/AI and Qlik would be beneficial to create robust and scalable BI solutions. What you'll do: ·Craft engaging and interactive dashboards and reports using … solutions, empowering them to leverage data effectively. ·Create clear and concise documentation for all BI solutions. ·Explore and implement advanced forecasting techniques, potentially leveraging machine learning and artificial intelligence. What you'll bring: ·At least 3 years of hands-on experience in business intelligence development. ·Demonstrable expertise in More ❯

to continuous integration and deployment. Mentor junior developers and contribute to internal knowledge-sharing initiatives. Stay current with trends in Python development, AI, and machine learning to support emerging opportunities. Profile Python developer - Financial services - London To be successful a candidate, you will need: 5-8 years of More ❯

discussions into business terms. Experience creating and sustaining high-level relationships with vendors, providers, and contractors. Experience with Python and its numerical, data, and machine learning libraries. Exposure to ETL tooling. Exposure to data science and analytical tooling such as SAS or Posit. Design and development of solutions More ❯

Fluent in English with strong communication and collaboration skills. Preferred Qualifications Experience with big data processing frameworks like Apache Flink or Spark. Familiarity with machine learning models and AI-driven analytics. Understanding of front-end and mobile app interactions with backend services. Expertise in cloud-native application development More ❯

communication skills. Desirable Skills: * Understanding of propulsion systems and material properties. * Awareness of EDU, batteries, HV charging systems, electrical, and mechanical aspects. * Knowledge of machine learning and AI. More ❯

areas - Communication skills - Understanding of propulsion systems - Preferred - Understanding of materials and material properties - Preferred - Awareness of EDU, HV charging system, Electrical, Mechanical - Preferred - Machine learning AI etc. - Preferred Education : Programming, Electrical, Mechanical, AI, Software. Additional Information : This role is on a contract basis and is Inside IR35. More ❯

areas - Communication skills - Understanding of propulsion systems - Preferred - Understanding of materials and material properties - Preferred - Awareness of EDU, HV charging system, Electrical, Mechanical - Preferred - Machine learning AI etc. - Preferred Education : Programming, Electrical, Mechanical, AI, Software. Additional Information : This role is on a contract basis and is Inside IR35. More ❯

development, ideally aligned with standards like RTCA DO-254. Awareness of cryptographic methods and anti-tamper techniques. Interest in or experience with AI/ML algorithms, including genetic algorithms. Qualifications: HNC/HND or degree in Electronic Engineering, Computer Science, Artificial Intelligence, Games Programming, Physics, or Applied Physics - or equivalent More ❯

Raster experience essential) 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) Experience with RASTER Strong experience across … industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Knowledge of Rust Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases This role would see you work in their More ❯

Raster experience essential) 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) Experience with RASTER Strong experience across … industries in both Geospatial and non-Geospatial domains Experience with Machine Learning (sci-kit learn, tensorflow, metaflow, MLOps) Preferred Experience: Knowledge of Rust Experience with frameworks like Metaflow, Prefect, etc. Experience with geospatial libraries i.e. Raster, Geo-pandas, Vector databases This role would see you work in their More ❯

technology areas Communication skills Desirable: Understanding of propulsion systems. Understanding of materials and material properties. Awareness of EDU, Batteries, HV charging system, Electrical, Mechanical Machine learning AI etc. More ❯

technology areas Communication skills Desirable: Understanding of propulsion systems. Understanding of materials and material properties. Awareness of EDU, Batteries, HV charging system, Electrical, Mechanical Machine learning AI etc. More ❯

inform conversation logic. Design effective, brand-aligned prompts and interactions for large language models (LLMs), including GPT-based systems. Leverage knowledge of AI and machine learning principles to collaborate confidently with technical teams and refine AI behavior. Maintain a strong focus on clarity, tone, and emotional intelligence in More ❯

url removed). Brings structure and clarity to complex environments, delivering clear project plans, objectives, and progress roadmaps. Bonus capability includes foundational knowledge of machine learning, analytics pipelines, and AI model lifecycle management-enabling informed collaboration with technical teams where advanced data solutions are involved. Responsibilities: You will More ❯