Manager of Machine Learning

A specialist data consultancy is seeking a

Machine Learning Specialist / Lead

- a technically outstanding individual who thrives on collaboration and delivering meaningful impact. You’ll be passionate about building and scaling intelligent AI solutions, working closely with clients, stakeholders, and cross-functional teams to bring them to life.

Skills, Experience, Qualifications, If you have the right match for this opportunity, then make sure to apply today.
This role is pivotal in shaping how the consultancy design, deploy, and scale AI-driven systems. You’ll take ownership across the entire model lifecycle — from infrastructure and pipeline development to deployment, optimisation, and monitoring. You'll also play a key role in operationalising generative AI solutions, including large language models (LLMs), ensuring they are secure, scalable, and cost-effective.
Role Responsibilities:
Design, implement, and manage scalable and secure infrastructure to support AI/ML workloads
Build and maintain robust pipelines for model training, validation, deployment, and monitoring
Act as a trusted technical advisor, understanding client challenges and designing tailored MLOps solutions
Collaborate with internal teams and clients to translate business needs into practical, scalable AI solutions
Optimise the performance and reliability of models running in production environments
Develop and maintain strong client relationships through effective communication and delivery excellence
Lead technical discovery sessions to identify requirements and key pain points
Mentor and guide cross-functional teams of ML engineers, data scientists, and consultants, fostering innovation and best practices
Contribute to thought leadership by participating in industry events and producing content on emerging trends
Stay ahead of developments in MLOps, DevOps, and AI infrastructure, bringing fresh insights into our work
Identify skills gaps and support continuous learning through targeted training and development initiatives
Skills and experience required:
Deep technical expertise in deploying, monitoring, and managing AI/ML solutions in production environments
Excellent communicator, comfortable working directly with clients and multidisciplinary teams
Hands-on experience with MLOps tools such as MLflow, DVC, Kubeflow, Docker/Kubernetes, and GitOps practices
Strong working knowledge of Azure and Databricks services
Proficient with observability and monitoring tools (e.g. Prometheus, Grafana, Datadog)
Curious and commercially minded — focused on delivering scalable, valuable solutions
Familiarity with additional cloud platforms such as AWS or GCP is a plus
Demonstrated leadership skills, with experience mentoring others and leading delivery efforts
If you're passionate about data and AI, and ready to take a leading role in a UK-based consultancy at the cutting edge of the industry, we’d love to hear from you.
Applicants must have the right to work in the UK and not require sponsorship now or in the future.

Visa sponsorship is not available .