21 of 21 DemandTrendPermanent MLOps Jobs in the North West

ability to work both independently and collaboratively. Bonus Points: Experience working with SaaS platforms and APIs. Familiarity with cloud security concepts and technologies. Familiarity with machine learning pipelines and MLOps practices Experience with infrastructure as code and DevOps practices Employee Benefits Our competitive benefits packages are designed to support our employees' well-being, both at work and at home. Our More ❯

research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges ✔️ Experience in digital healthcare tool development (advantageous) This is a unique opportunity More ❯

research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges ✔️ Experience in digital healthcare tool development (advantageous) This is a unique opportunity More ❯

research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges ✔️ Experience in digital healthcare tool development (advantageous) This is a unique opportunity More ❯

research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges ✔️ Experience in digital healthcare tool development (advantageous) This is a unique opportunity More ❯

research data ✔️ Expertise in Python, R, TensorFlow, PyTorch, and modern ML frameworks ✔️ Hands-on experience with LLMs, generative AI, and natural language processing for medical text ✔️ Familiarity with AWS, MLOps, and cloud-based platforms ✔️ Proven ability to partner with stakeholders and adapt AI solutions to complex healthcare challenges ✔️ Experience in digital healthcare tool development (advantageous) This is a unique opportunity More ❯

verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of More ❯

verbally and written Desirable Postgraduate qualification in relevant field (eg Computer Science, Data Science, Operational Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of More ❯

communication and stakeholder engagement skills Desirable: Experience with Delta Lake, Power BI, and Azure DevOps Knowledge of data governance, security, and compliance frameworks Exposure to machine learning workflows and MLOps Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate) Benefits: Competitive salary up to £65,000 Hybrid working (2 days in Manchester office) Pension, private healthcare, and bonus scheme Training More ❯

communication and stakeholder engagement skills Desirable: Experience with Delta Lake, Power BI, and Azure DevOps Knowledge of data governance, security, and compliance frameworks Exposure to machine learning workflows and MLOps Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate) Benefits: Competitive salary up to £65,000 Hybrid working (2 days in Manchester office) Pension, private healthcare, and bonus scheme Training More ❯

communication and stakeholder engagement skills Desirable: Experience with Delta Lake, Power BI, and Azure DevOps Knowledge of data governance, security, and compliance frameworks Exposure to machine learning workflows and MLOps Relevant certifications (e.g. Microsoft Certified: Azure Data Engineer Associate) Benefits: Competitive salary up to £65,000 Hybrid working (2 days in Manchester office) Pension, private healthcare, and bonus scheme Training More ❯

Airflow, Terraform, or SageMaker. Data Quality Management: Experience with data versioning and quality assurance practices. Automation and CI/CD: Knowledge of build and deployment automation processes. Experience within MLOps A 1st class Data degree from one of the UKs top 15 Universities Nice to Have Production Experience: Experience building and maintaining data pipelines in a live environment. Data Storage More ❯

production deployment. Proficiency with machine learning frameworks Strong programming skills in Python; familiarity with cloud AI platforms such as Azure, AWS, or Google Cloud Platform (GCP). Experience with MLOps practices, including CI/CD pipelines for AI models, monitoring, and version control. Deep understanding of AI algorithms Desirable Attributes Experience working in fast-paced, high-growth, or regulated industry More ❯

departmental strategies to ensure solutions deliver measurable impact across the business Build and maintain robust AI/ML pipelines from data ingestion through to production deployment Apply AIOps/MLOps/ModelOps best practices: version control, CI/CD, model monitoring, automated testing, and reproducibility Stay on top of emerging AI tools, frameworks, and research; contribute to R&D and … is in the Python ecosystem Skilled in core Data Science practices including data preprocessing, feature engineering, model evaluation, data orchestration, and data structures, etc Hands-on with AIOps/MLOps/ModelOps tooling (Docker, Kubernetes, MLflow, model monitoring, CI/CD) Experience integrating AI/ML solutions into business processes and operational systems Ability to work closely with stakeholders, translating More ❯

modern digital ecosystem using exciting technologies and do the best work of their careers. Your Key Responsibilities And Impact Designing, developing, and maintaining tools that support data science and MLOps/LLMOps workflows. Collaborate with Data Scientists to deploy, serve, and monitor LLMs in real-time and batch environments using Amazon SageMaker, Bedrock Implement Infrastructure-as-Code with AWS CDK … and knowledge-sharing through comprehensive documentation, technical deep dives, brown bag sessions, internal workshops, and active mentorship of team members. Your Skills And Experience Extensive experience of DevOps/MLOps experience with a strong focus on building and delivering scalable infrastructure for ML and AI applications using Python and cloud native technologies Experience with cloud services, especially Amazon Web Services … AWS) - SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS. Proficiency in Infrastructure-as-Code using AWS CDK or CloudFormation. Experience implementing and scaling MLOps workflows with tools such as MLflow, SageMaker Pipelines. Proven experience building, containerising, and deploying using Docker and Kubernetes. Hands-on experience with CI/CD tools (GitHub Actions, CodePipeline, Jenkins) and version control using More ❯

practices: CI/CD, automated testing, observability. Experience with multi-modal AI (e.g. layout understanding, VLMs, agentic workflows). Comfortable prototyping quickly (Streamlit, Dash) to test ideas. Familiar with MLOps tools like MLflow and model monitoring. Strong communicator who can work across teams. More ❯

practices: CI/CD, automated testing, observability. Experience with multi-modal AI (e.g. layout understanding, VLMs, agentic workflows). Comfortable prototyping quickly (Streamlit, Dash) to test ideas. Familiar with MLOps tools like MLflow and model monitoring. Strong communicator who can work across teams. Desired Skills and Experience AI Engineer More ❯

Location: Haywards Heath, Home Office (Remote) or Manchester Salary: £56,000 - £70,000 - depending on experience Department: Technology and Data We're 1st Central, a market-leading insurance company utilising smart data and technology at pace. Rapid growth has been More ❯

science products and insights. End-to-End ML Lifecycle Ownership: Experience developing and deploying complex machine learning models, owning the entire lifecycle from exploratory data analysis to production monitoring. MLOps Familiarity: Familiarity with GCP's MLOps suite including Vertex Pipelines (or similar platforms). Technical Proficiency: in SQL and Python, along with familiarity with standard libraries used in data science More ❯

Designation Senior Principal Analyst Function Sales Enablement Experience 5-10 years Location United Kingdom - Edinburgh, London, Manchester Skills AI, Machine Learning, Solution Architecture You'll be part of a collaborative, entrepreneurial environment that values innovation, excellence, and thought leadership. This More ❯

Be the Data-Driven Heart of Our Transformation At Pets at Home, were more than a retailer were a pet care powerhouse, spanning retail, veterinary, grooming and subscription services. As we transform our business through data, were looking for a More ❯