24 of 24 MLOps Jobs in the North West

libraries (e.g., spaCy, NumPy, SciPy, Transformers). Understanding of big data and cloud technologies (Spark, Hadoop, Azure, AWS, or GCP). Deep expertise in MLOps principles, scalable model deployment, and model governance. Excellent communication and stakeholder management skills with the ability to translate data insights into business value. Bonus Points ...

PySpark. Agentic & Generative AI platforms such as Microsoft Copilot Studio, Adept AI, UiPath, OpenAI GPT-5 Agents, Orby AI, and Beam AI. DevOps and MLOps principles for production AI deployments. WHAT YOU'LL LOVE ABOUT WORKING HERE Data Science Consulting brings an inventive quantitative approach to our clients’ biggest business ...

Ability to communicate complex technical concepts clearly to non-technical audiences Bonus Points For Participation in Kaggle or other data science competitions Experience with MLOps practices (CI/CD, model monitoring, DevOps integration) Familiarity with advanced NLP frameworks such as spaCy or Transformers MSc or PhD in a numerate discipline ...

move from legacy and hybrid platforms to a modern Fabric setup Supporting BI teams with semantic models, datasets and performance optimisation Enabling ML and MLOps workflows, from feature engineering to deployment Working closely with data scientists, analysts, IT and the wider business Embedding data quality, governance and best-practice standards ...

convey technical concepts to non-technical stakeholders. Bonus Points For Experience with real-time streaming tools like Kafka or Spark Streaming. Exposure to MLOps practices and maintaining ML models in production. Familiarity with data visualisation tools such as Power BI, Qlik, or Tableau. Experience of developing applications on VertixAI ...

Location: Manchester Working: 3 days onsite (Tues-Thurs) Salary: £100k + extensive package (TC circa £150k) The Role Leading a team of Data, DataOps & MLOps Engineers within a global asset manager's European Data function. You'll drive delivery of scalable, cloud-based data solutions, supporting analytics, data science ...

Proven experience with ML in production environments Strong skills in Python, SQL, and AWS (SageMaker, Lambda, etc.) Experience with NLPs or LLMs Familiarity with MLOps and real-time data applications A pragmatic mindset and strong problem-solving ability Background in adtech or fraud detection is a bonus ...

LLMs, NLP, or retrieval-augmented workflows. * Confident working with large-scale tabular datasets and complex data environments. * Cloud experience, ideally AWS, plus familiarity with MLOps practices. * Background in product-focused environments or consultancy. * Ability to evidence measurable business impact from previous technical projects. What They Offer * Hybrid working with ...

Location: Manchester Working: 3 days onsite (Tues-Thurs) Salary: £130k + extensive package (TC circa £200k) The Role Leading multiple teams of Data, DataOps & MLOps Engineers within a global asset manager's European Data & Analytics function. You'll own the data engineering strategy, driving the build of AI-ready, cloud ...

guardrails while ensuring business value creation and impact. YOUR ROLE In this position you will play a key part in: Assessing and implementing robust MLOps framework, governance and best practices as per industry standards Designing and delivering end-to-end AI/ML systems, from data preparation and model development … Experience of working with client sponsors, both technical and non-technical, to collaboratively design requirements and build out solutions. Experience of designing and implementing MLOPs strategy and framework and proven track record in designing and delivering AI/ML solutions at scale, from concept to production. Deep understanding of Generative ...

Lead the implementation of Generative AI models, LLMs, and agentic frameworks. •Collaborate with stakeholders to define problem statements and solution approaches. •Deploy models using MLOps tools such as SageMaker, Snowflake, and CI/CD pipelines. •Integrate vector databases and Retrieval-Augmented Generation (RAG) pipelines. •Ensure high-quality delivery and adherence … Azure, GCP) and their AI/ML services. •Minimum 5 years in ML model development, data engineering, and software engineering. •Minimum 3 years in MLOps and AI/ML deployment. •Minimum **2 years in Generative AI, LLMs, and agentic frameworks. Preferred •Experience with API Gateway development and deployment on Azure ...

Confidence operating across multiple workstreams while building sustainable AI and analytics capability within teams Bonus Points For Hands-on experience with AI product development, MLOps, model lifecycle management or AI platform engineering Knowledge of responsible AI, model risk management, AI governance or ethical AI frameworks Experience supporting AI strategy, roadmap ...

architectures that seamlessly integrate AI/ML solutions with existing insurance systems. Collaborate with Enterprise, Application, Data & DevOps Architects, Data scientists, MLOps & GenAI Engineers, and Business teams to pilot use cases and discuss architectural design. Select appropriate technologies from a pool of open-source and commercial offerings, considering deployment models … writing robust and efficient code in Python. Experience in using tools relevant to deep learning like PyTorch, TensorFlow, LangChain. Experience in designing & implementing key MLOps capabilities & frameworks in delivering robust train, test, monitor and improve lifecycles for AI/ML model deployments. Experience in developing and integrating APIs especially related ...

stay there Experience working in commercial environments where data drives decisions Strong Python (or R) experience across modern data science tooling Familiarity with MLOps, model monitoring, and deployment pipelines Ability to communicate complex outputs clearly to non-technical stakeholders ...

Synthetic Biology, Deep Tech, TechBio, Director of Engineering, ML Platform, AI Infrastructure, Lab Automation, Bioinformatics, Player-Coach, Engineering Leadership, AI Agents, LLMs, Python, Numpy, MLOps, Life Sciences AI, Biotechnology. ...

internal capability Bonus Points For Prior experience in business development or pre-sales within a consultancy environment Hands-on familiarity with modern data science, MLOps or AI operationalisation Knowledge of data ethics, AI governance or analytics operating models Change management or business analysis experience within large transformation programmes Confidence ...

monthly billing Promotion to Consultant within 6 months based on performance Structured, hands-on training from experienced AI recruiters Strong market demand across GenAI, MLOps, and data science Year 1 OTE £40k, Year 2 £50k, Year 3 £65k Early exposure to founders and technical hiring managers Clear targets and transparent ...

securing data-related business opportunities Expertise across data domains: data strategy, data governance, data privacy, and analytics delivery Strong understanding of data science, AI, MLOps, BI tools, ethics in AI, and analytics operating models Proven ability to lead large-scale data transformation initiatives within Financial Services Bonus Points For Experience ...

Tune machine learning methods to best leverage our state-of-the-art processing capabilities Deploy and maintain machine learning methods in a DevOps/MLOps based machine learning environment Create robust high-quality code using test-driven development (TDD) techniques and adhering to the SOLID coding standards Your work will … Director of Technical Underwriting Propose, proof-of-concept, develop, and deliver novel machine learning processes that automate current manual processes, and leverage DevOps and MLOps software. Work in a collaborative environment with data science to help deploy machine learning methods that are state-of-the-art, robust, and future extensible. ...

This job is with Capgemini, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Data Science Senior Consultant/Senior ...

learning engineer, you will work with and under the expert supervision of machine learning engineers to help build and maintain the pricing team’s MLOps and ML Lifecycle environment and support the creation of pipelines by automating the sophisticated machine learning models and processes that underpin our market-leading technical … modelling and pricing function. Key Responsibilities: Build an MLOps/DevOps environment to support machine learning automation. Build the pipelines that automate the regular model update and monitoring processes. Work with the Technical Underwriting machine learning engineers to develop, implement, and maintain scalable and processes and codebase that facilitate efficient ...

Implements infrastructure as code using Terraform, including network, security, and compute resources. Supports Airflow as part of platform orchestration. Collaborates closely with Data Engineers, MLOps Engineers, and Solution Architects to ensure the infrastructure and pipelines meet performance, scalability, and compliance requirements. Follows best practices for platform security, auditing, and cost … using Azure Key Vault and Azure AD. Ensure connectivity between on-prem services and Azure cloud infrastructure using GreenLink and hybrid networking. Collaborate with MLOps and Data Engineers to ensure reproducible, reliable, and auditable infrastructure across environments. Monitor system health, logging, and metrics using platform observability tools (e.g. Azure Monitor ...

member of myGwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly. Job Title: Lead MLOps Engineer Location: UK Wide. We offer a range of hybrid and flexible working arrangements – please speak to your recruiter about the options for this particular role Salary ...

essential. You will manage secrets and access through Azure Key Vault and Azure AD, support hybrid connectivity using GreenLink, and collaborate closely with MLOps and Data Engineering teams to deliver reproducible, auditable infrastructure. The role also includes monitoring system health using tools such as Azure Monitor, Prometheus, and Grafana Core … using Azure Key Vault and Azure AD Ensuring connectivity between on-prem services and Azure cloud infrastructure using GreenLink and hybrid networking Collaborating with MLOps and Data Engineers to ensure reproducible, reliable, and auditable infrastructure across environments Monitoring system health, logging, and metrics using platform observability tools (e.g. Azure Monitor ...