when needed, as appropriate. Collaborate with other Computational Team's engineers to facilitate the deployment of the models within BH's workflows. This may include minor front-end and MLOps tasks. Write periodic reports to show progress and participate in team planning/review activities with both BH and BCU. Co-author papers and participate in conferences and dissemination activities More ❯
platforms such as OpenAI on Azure, AWS Bedrock, GCP Vertex AI, or Gemini AI. Architecture & Deployment: Designing, deploying, and scaling AI architectures aligned to enterprise standards. Proven experience in MLOps and AI lifecycle management, with scalable deployments across AWS, GCP, and Azure. Bridging business and technical teams, owning high- and low-level design for services, products, and solutions. Optimizing solutions More ❯
Crawley, England, United Kingdom Hybrid / WFH Options
Thales Group
advice and best practices to overcome these challenges and successfully deliver the expected business outcomes. Skills and experience required Experience in any related software/DevOps/DevSecOps/MLOps/AI roles within a regulated engineering environment. CI/CD deployment Software/AI development and deployment in complex programmes Strong Data and Application understanding with underpinning Infrastructure solution More ❯
Senior Data Scientist - Creative Optimization Join to apply for the Senior Data Scientist - Creative Optimization role at GroupM Senior Data Scientist - Creative Optimization 1 day ago Be among the first 25 applicants Join to apply for the Senior Data Scientist More ❯
London, England, United Kingdom Hybrid / WFH Options
DATAPAO
Join to apply for the Senior Data Engineer (Databricks) role at DATAPAO Get AI-powered advice on this job and more exclusive features. This range is provided by DATAPAO. Your actual pay will be based on your skills and experience More ❯
Are you excited about working at the forefront of applied research in an industry setting? Thomson Reuters Labs is seeking scientists with a passion for solving problems using state-of-the-art machine learning, natural language processing and generative AI. More ❯
Social network you want to login/join with: Senior MLOps Engineer - Hybrid/Dundee Salary up to £70,000 We are looking for a Senior MLOps Engineer to join a Scottish company working on cutting-edge AI solutions. You will play a pivotal role in ensuring that ML initiatives drive value effectively while maintaining operational excellence. The Role: Managing …/CD pipelines, monitoring systems, and infrastructure automation. Upholding best practices in security, cost management, and infrastructure design for cloud environments. The Ideal Candidate: 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization More ❯
London, England, United Kingdom Hybrid / WFH Options
Propel London
Social network you want to login/join with: Senior Data Scientist – NLP & MLOps, London Client: Propel London Location: London, United Kingdom Job Category: Other EU work permit required: Yes Job Reference: 64a60698b24f Job Views: 5 Posted: 25.06.2025 Expiry Date: 09.08.2025 Job Description: Job Description As a Senior Data Scientist within the product team, you will bring your expertise to … the product roadmap to enhance core features. Collaborating with a product manager to develop new features. Working on projects to continually develop and improve the AI software using appropriate MLOps tools to deploy, scale, and monitor models in production. What you will bring to the team! Detailed knowledge of AI techniques, including training, fine-tuning, and applying deep learning models. More ❯
experiment, ship, and see your work reflected in customers' financial freedom. At Updraft, you'll help build a fairer credit system. The Role We're looking for an experienced MLOps Engineer for a 3-month contract to lead the development of our ML deployment, testing, monitoring, and feature engineering pipelines . You'll be responsible for establishing best practices and … learning workflows from training to deployment and beyond. The role could be extended to a longer DevOps contract. What You'll Do - Design and build an end-to-end MLOps pipeline using AWS , with a strong focus on SageMaker for training, deployment, and hosting. - Integrate and operationalize MLflow for model versioning, experiment tracking, and reproducibility. - Architect and implement a feature … workflows (training, evaluation, deployment), integrating with tools such as GitHub Actions , CodePipeline , or Jenkins . - Create internal documentation and onboarding guides for engineering and data teams to adopt new MLOps practices. What We're Looking For - 3+ years of experience in MLOps, DevOps, or ML infrastructure roles. - Deep familiarity with AWS services , especially SageMaker , S3, Lambda, CloudWatch, IAM, and optionally More ❯
changes. We welcome open-minded developers who like to share knowledge and help each other to push Optimove forward using the cutting edge of today's tech. The new MLOps team will be responsible for the seamless deployment, monitoring, and maintenance of machine learning models in production. Acting as the critical link between the data science and R&D teams … ML systems for performance, errors, and drift. Automate infrastructure provisioning and deployment using IaC tools. Collaborate with team leader to define technical strategies. Requirements : 4+ years of experience in MLOps, DevOps, or software engineering roles. Strong programming skills in Python and familiarity with ML frameworks. Extensive experience with AWS services (e.g., SageMaker, ECS, Lambda) and cloud environments. Proficiency with containerization More ❯
solutions. Assist in fine-tuning large language models (LLMs) and retrieval-augmented generation (RAG) systems. Optimize model performance and work on deployment strategies using cloud-based AI solutions. Support MLOps best practices to streamline AI development workflows. Stay updated with the latest advancements in machine learning by regularly reviewing academic literature and research papers. Capable of translating theoretical insights into … personalization engines. Familiarity with production-scale vector databases (e.g., QDrant, Pinecone, Weaviate). Understanding of AI model interpretability and ethical AI considerations. Exposure to real-time AI applications and MLOps workflows. Why Join Us? Work alongside industry experts on cutting-edge AI projects. Opportunity to grow and advance in a fast-paced, innovative environment. Competitive compensation, benefits, and professional development More ❯
London, England, United Kingdom Hybrid / WFH Options
Bupa
impact projects that span our entire organisation. As part of our ambitious 2027 strategy, you’ll join a growing Data Science team focused on implementing modern data science and MLOps standards while upholding ethical and responsible practices. In this leadership role, you’ll be responsible for delivering AI and ML solutions that drive measurable business outcomes, while mentoring others and … to develop impactful, ethical AI solutions. Act as a thought leader and data evangelist, sharing knowledge across Bupa’s global data science community and promoting best practices in AI, MLOps, and responsible innovation. Ensuring full compliance with regulatory frameworks and standards relevant to the health insurance sector (e.g., GDPR, DPA) as well as proactively aligning Bupa’s Responsible AI Framework. … or Snowflake. Demonstrated experience delivering end-to-end AI and GenAI projects, including model design, development, deployment, and monitoring in production environments. Strong understanding of cloud-native ML infrastructure, MLOps practices, and scalable architecture design. Excellent communication and stakeholder management skills, with the ability to influence and collaborate across technical and non-technical teams. Experience working in an agile environment More ❯
London, England, United Kingdom Hybrid / WFH Options
ZipRecruiter
at top conferences when opportunities arise What You'll Have MSc or PhD in Machine Learning, Computer Science or a related field 5+ years of experience in ML engineering, MLOps and/or backend/infra-focused roles Experience integrating LLMs into enterprise SaaS or internal tooling Strong Python experience with ML/LLM libraries (e.g., Transformers, LangChain, LangGraph, OpenAI … specs, early-stage infrastructure, and iterating fast Excellent communication and self-management skills Nice To Have Familiarity with agentic frameworks, orchestration tools, or vector databases Background in DevOps/MLOps or platform engineering Passion for building something from scratch and seeing the impact of your work in production What We Offer Competitive salary with equity options based on experience and More ❯
strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in LLMs, MLOps, and ML more broadly. The impact you will have: Develop LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and … content generation Build, scale, and optimize customer data science workloads and apply best in class MLOps to productionize these workloads across a variety of domains Advise data teams on various data science such as architecture, tooling, and best practices Present at conferences such as Data+AI Summit Provide technical mentorship to the larger ML SME community in Databricks Collaborate cross-functionally More ❯
Burton-on-trent, Staffordshire, United Kingdom Hybrid / WFH Options
greene king
scalable data science solutions, including predictive models, AI/ML-powered decision engines, and automation frameworks that deliver measurable commercial value. This includes integrating cloud-based, real-time, and MLOps best practices to ensure robust, production-ready solutions. Leading the end-to-end lifecycle of data science initiatives, this role will take solutions from ideation and prototyping to production deployment … Develop, deploy, and scale advanced data science solutions, including predictive models, AI/ML decision engines, and automation frameworks, to drive data-led operational decisions. Implement and oversee robust MLOps practices, ensuring models remain accurate, explainable, and optimized through continuous monitoring, retraining, and refinement. Champion responsible AI and governance, ensuring ethical, fair, and transparent AI/ML practices that align More ❯
and AI solutions ️ Shape the strategic roadmap for scalable, ethical and explainable AI initiatives ️ Develop production-grade ML systems with robust lifecycle management and monitoring ️ Champion best practices in MLOps, CI/CD, testing and model governance ️ Guide technical decision-making and project design across the data science function ️ Drive cross-functional collaboration with product, engineering, and analytics teams ️ Translate … e.g. transformers, reinforcement learning, XGBoost) Strong understanding of model validation, explainability and responsible AI practices Excellent communication and leadership skills, with the ability to influence across teams Familiarity with MLOps tooling and scalable cloud platforms Nice To Have: Experience setting or influencing data science strategy in a growing organisation Familiarity with AWS SageMaker or similar cloud-based ML tools Published More ❯
Leeds, Yorkshire, United Kingdom Hybrid / WFH Options
ASDA
end data science and analytics projects aligned with business priorities. Model Development : Build, test, and deploy predictive and optimisation models using Databricks, Azure, and Python , incorporating best practices in MLOps and governance. Insight Generation : Translate complex datasets into accessible and actionable insights using Power BI and other visualisation tools. Stakeholder Collaboration : Partner with cross-functional teams to embed analytics into … advanced analytics, or data engineering, with a track record of delivering measurable outcomes. Proficiency in Databricks, Azure, Python, SQL, and data visualisation using open source libraries. Experience with modern MLOps practices for deploying and maintaining models in production. Excellent communication skills - able to simplify technical concepts for varied audiences. Strong problem-solving skills and a focus on value creation over More ❯
with clients to understand their business challenges and translate requirements into technical solutions. Innovate with Purpose: Explore cutting-edge approaches to analytics engineering, from modern data stack implementations to MLOps practices, ensuring QuantSpark stays at the forefront of the industry. The Real Challenges You'll Help Us Solve We believe in transparency about the realities of joining a scale-up … management skills with ability to balance multiple priorities and deliver on time Collaborative mindset with experience working in cross-functional teams Bonus Points Experience with machine learning workflows and MLOps practices Knowledge of real-time streaming data processing (Kafka, Kinesis) Background in consulting or client-facing technical roles Contributions to open-source analytics or data engineering projects What Success Looks More ❯
and NumPy, and familiarity with parallelization or asynchronous programming. Proficiency in Test-Driven Development (TDD) and an understanding of Python testing libraries such as Pytest. Cloud, CI/CD & MLOps Knowledge Experience taking models from experiments through to production deployments, with tools such as Docker, Kubernetes & serverless alternatives such as AWS Lambda. Familiarity with MLOps tools such as MLFlow, Kubeflow More ❯
London, England, United Kingdom Hybrid / WFH Options
Flo Health Inc
time forecasting models handling millions of daily predictions Drive cross-functional impact - partner with Growth, Product, and Finance to translate business problems into ML solutions Shape technical architecture - guide MLOps infrastructure, monitoring, and rapid iteration cycles Stay hands-on - contribute to modeling, architecture decisions, and technical problem-solving as needed What you bring Technical Leadership 7+ years applied ML experience … requirements into technical roadmaps Strong communication skills - can explain complex models to executive stakeholders Production ML Systems Experience deploying ML models at scale (millions+ predictions/day) Knowledge of MLOps practices: model versioning, monitoring, automated retraining Understanding of data engineering fundamentals and cloud platforms Nice to have Experience with Marketing Mix Modeling, attribution, or ad tech Background in consumer tech More ❯
Manchester, North West, United Kingdom Hybrid / WFH Options
Adria Solutions
with ML libraries and frameworks Solid understanding of statistical modelling, natural language processing (NLP), and/or deep learning Experience working with structured and unstructured data sources Familiarity with MLOps practices and tools (e.g., model versioning, CI/CD for ML, cloud deployment) Excellent communication and stakeholder engagement skills Bachelors or Masters degree in Computer Science, AI, Data Science, or More ❯
on design and implementation of research tools What you need to succeed Advanced degree (Master's or PhD) in a relevant field 5+ years of hands-on experience in MLOps and Research Engineering Strong proficiency in programming languages such as Python, with experience in libraries like TensorFlow, PyTorch, and scikit-learn Demonstrated experience in designing and implementing end-to-end More ❯
experience in DevOps engineering Solid knowledge of cloud platforms, e.g. Azure/AWS/GCP (mandatory) Mastery of Docker architecture, containerization, and CI/CD tools Proven experience in MLOps practices, integrating machine learning models into scalable, secure production environments is a great plus Comfortable working with Bitbucket, Git, Confluence, and Jira Familiarity with platforms like Databricks is a strong More ❯
Cambridge, England, United Kingdom Hybrid / WFH Options
RemoteStar
Actions, Jenkins). Expertise in Kubernetes deployment, Helm, ArgoCD, and Rancher. Knowledge of service meshes like Istio Gateway. Experience deploying SaaS solutions and relational databases like PostgreSQL. Experience with MLOps, deploying ML/data analytics infrastructure. Experience with release management processes. This job posting is active and accepting applications. #J-18808-Ljbffr More ❯
Oxford, England, United Kingdom Hybrid / WFH Options
ZipRecruiter
/conferences Experience with Git-workflow within a production team Experience with Agile product development Experience of working in a start-up Best practices in data engineering Familiarity with MLOps Experience with building Restful services Experience presenting in front of project stakeholders Keen business development interest Start date : Immediate Contract Type : Permanent Oxford Dynamics is committed to creating an inclusive More ❯