Senior ML Engineer - ML Ops, NLP, 6mo Contract Bristol

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This role is for a Senior Machine Learning Engineer on a 6-month contract in Bristol, offering £75ph Outside IR35. Key skills include Python, ML frameworks, and MLOps. MOD SC clearance is required, along with experience in ML model design and deployment.

United Kingdom

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632

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March 21, 2026

More than 6 months

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On-site

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Yes

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Greater Bristol Area, United Kingdom

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#Deployment #Quality Assurance #Data Pipeline #NLP (Natural Language Processing) #Scala #Data Engineering #Compliance #ML (Machine Learning) #Python #DevOps

Senior Machine Learning Engineer6 month contractBased in BristolOffering circa £75ph Outside IR35Do you have experience designing, building, and optimising ML models?Do you have experience in Python and ML frameworks?Do you want to work with an industry-leading company?If your answer to these is yes, then this could be the role for you!As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry.Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance.You will be involved in:• Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics• Own the ML lifecycle from data preparation through training, evaluation, and deployment• Implement and maintain MLOps workflows for continuous integration and delivery of ML models• Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability• Contribute to architecture decisions for ML pipelines and data flows• Apply secure coding and configuration practices in line with compliance standards• Mentor junior engineers and share best practices across the team• Support innovation by researching emerging ML techniques and toolsYour skillset may include:• ML Development Expertise: Hands-on experience building and deploying ML models• Lifecycle Ownership: Ability to manage ML workflows from design to production• Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling• Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration• Governance & Compliance: Familiarity with secure coding and quality assurance standards• Collaboration & Mentoring: Ability to work across teams and support junior engineers• Continuous Improvement: Commitment to learning and applying emerging ML techniquesIf this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further!

Senior Machine Learning Engineer6 month contractBased in BristolOffering circa £75ph Outside IR35Do you have experience designing, building, and optimising ML models?Do you have experience in Python and ML frameworks?Do you want to work with an industry-leading company?If your answer to these is yes, then this could be the role for you!As the Senior Machine Learning Engineer, you will be working alongside a market-leading Defence and Aerospace company who are constantly growing and developing. They are always looking to bring on new talents such as yourself and further develop your skills to enable you to grow within the company and industry.Do you the nature of the work you will be invoved in, you will be required to go through MOD SC clearance.You will be involved in:• Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics• Own the ML lifecycle from data preparation through training, evaluation, and deployment• Implement and maintain MLOps workflows for continuous integration and delivery of ML models• Collaborate with Data Engineers and DevOps teams to ensure production readiness and scalability• Contribute to architecture decisions for ML pipelines and data flows• Apply secure coding and configuration practices in line with compliance standards• Mentor junior engineers and share best practices across the team• Support innovation by researching emerging ML techniques and toolsYour skillset may include:• ML Development Expertise: Hands-on experience building and deploying ML models• Lifecycle Ownership: Ability to manage ML workflows from design to production• Tool Proficiency: Skilled in Python, ML frameworks, and MLOps tooling• Data Engineering Awareness: Understanding of data pipelines, warehousing, and integration• Governance & Compliance: Familiarity with secure coding and quality assurance standards• Collaboration & Mentoring: Ability to work across teams and support junior engineers• Continuous Improvement: Commitment to learning and applying emerging ML techniquesIf this all sounds like something you will be interested in then simply apply and we can discuss the opportunity further!

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