A specialist data consultancy is seeking aMachine 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.
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.
