Latest mlops Jobs

Senior MLOps Engineer - DSX Enablement

Develop and optimize full-stack AI/ML systems, focusing on MLOps pipelines, distributed training, and inference performance across NVIDIA's cloud platforms and open-source frameworks. Act as a technical advisor for internal and external customers, solving complex production issues and building scalable reference architectures. Work closely with infrastructure and framework teams to enhance AI workload capabilities on accelerated systems.

NVIDIA Germany PLN 292,500 – PLN 650,000 pa

Senior MLOps Engineer - DSX Enablement

This role involves building and deploying custom AI solutions on NVIDIA's NeoCloud and partner cloud platforms, with a focus on distributed training, inference optimization, and MLOps pipelines. The engineer will act as a technical advisor to both internal and external customers, diagnosing complex full-stack AI/ML system issues and contributing to open-source tools and reference architectures. Emphasis is placed on performance tuning, cross-team collaboration, and enabling cutting-edge AI workloads on NVIDIA hardware and software stacks.

NVIDIA PLN 292,500 – PLN 650,000 pa

Lead AI Engineer

This role involves designing and implementing AI solutions to improve operational efficiency, defining LLM architecture, and building AI tools like assistants and workflow automation. You will work within an Azure cloud environment, applying best practices in MLOps and DevOps, and collaborate closely with product teams and senior leadership.

Harnham - Data and Analytics Recruitment London, United Kingdom £85,000 – £95,000 pa

Hybrid Permanent

Forward Deployed Engineering - Senior Architect

This role involves leading the design and implementation of end-to-end data and AI solutions for enterprise customers using the Databricks platform. The Senior Architect will work hands-on to build production-grade systems, integrate ML/AI models, and deliver scalable data architectures while collaborating closely with technical and business stakeholders. The role emphasizes customer immersion, reusable asset development, and influencing product strategy through real-world deployment insights.

Databricks London, United Kingdom

Hybrid Permanent

Senior Solutions Engineer (Manufacturing, Automotive, Defence)

The role involves leading technical engagements with customers, designing solutions, and delivering platform demonstrations for data engineering, analytics, and machine learning workloads. You will work closely with the Account Executive to expand Databricks platform usage and contribute to the broader technical community.

Databricks London, United Kingdom

Research Data Engineer

Design and build scalable data systems for multi-modal scientific data, enabling efficient analysis and machine learning in a high-performance research environment. Focus on data pipeline architecture, storage optimization, and seamless integration between wet lab and ML teams. Work across cloud-native infrastructure to support large-scale, GPU-intensive model training and rapid iteration.

Relation Therapeutics London, United Kingdom

Hybrid Permanent

Postdoctoral Researcher in Large Language Model Development

The role involves curating and processing multilingual humanities data, pre-training and fine-tuning large language models, and developing evaluation benchmarks. You will work closely with subject specialists and contribute to open-source research and publications.

University of Oxford Oxford, South East England, United Kingdom £39 – £41 pa

Contract

Senior Computer Vision Engineer - Deep Learning

Design and deploy production-grade computer vision systems using deep learning techniques such as CNNs and Vision Transformers. Translate AI research into robust, real-world applications for defence and security environments. Work across the full development lifecycle, from research to deployment on cloud and edge platforms.

MFK Recruitment Brentford, London, TW8 9DE, United Kingdom £70,000 – £95,000 pa

Hybrid Permanent Clearance Required

Senior Software Engineer

This role involves leading software development across AI and computer vision projects, spanning research, product, and service development. The engineer will contribute to all stages of the SDLC, from design to deployment, while working in multidisciplinary teams. Emphasis is placed on innovation, technical leadership, and applying expertise in low-TRL technology development.

Synoptix Broomhill, City Of Bristol, Bristol (county), BS4 4SE, United Kingdom £51,000 – £60,500 pa

Lead AI / ML Engineer

The Lead AI/ML Engineer will build and deploy machine learning models to drive analytics and decision-making, focusing on areas like demand forecasting, pricing, and operational planning. You'll work closely with business stakeholders, data teams, and technology teams to ensure solutions are production-ready and deliver measurable value.

Michael Page Woking, Surrey, United Kingdom £80,000 – £95,000 pa

Data Scientist (Sovereign Territory Surveillance)

As a Data Scientist at SRT Marine Systems, you will work on developing and evaluating ML models for maritime and security-based problems, including anomaly detection and track pattern recognition. You will collaborate with developers and engineers to integrate these models into user-facing features and build scalable data pipelines.

SRT Marine Systems PLC Bristol, Bristol (county), United Kingdom £55,000 – £85,000 pa

Data Scientist (Sovereign Territory Surveillance)

The Data Scientist role involves solving maritime and security-based problems using machine learning and data science techniques. Responsibilities include developing and evaluating ML models for anomaly detection, track pattern recognition, and integrating model outputs into user-facing features. The role is part of a collaborative, data-orientated team focused on enhancing civil defence security through advanced automated security infrastructures.

SRT Marine Systems PLC Gloucester, Gloucestershire, United Kingdom £55,000 – £85,000 pa

Model Release Engineer

The role involves designing and building automated services and workflows to move AI models from development through testing to production release. It requires close collaboration across multiple engineering teams to integrate systems and improve the reliability and transparency of the model-release lifecycle. The engineer will use AI-assisted development to automate manual tasks and enhance delivery speed.

Wayve London, United Kingdom

Staff Machine Learning Engineer - Ops

This role focuses on ensuring the quality and safety of machine learning models throughout Wayve's training and release pipeline. The engineer will establish release standards, validate model performance between training phases, and collaborate with platform, CI/CD, and evaluation teams to improve reliability and efficiency. The position involves deep engagement with MLOps workflows, automation, and model delivery infrastructure in a high-impact, safety-critical environment.

Wayve London, United Kingdom

ML Data & Platform Engineer

This role involves building and maintaining scalable data pipelines and ML infrastructure to support speech AI models. You'll work across the full lifecycle—from data acquisition and preparation to model training, evaluation, and production serving—while improving data quality, observability, and MLOps practices. The position emphasizes end-to-end ownership of distributed systems and close collaboration with ML teams to accelerate model deployment.

Speechmatics London, United Kingdom