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- Tasks: Lead the design and implementation of AI solutions, managing the entire model lifecycle.
- Company: Join a specialist data consultancy focused on impactful AI-driven systems.
- Benefits: Enjoy a collaborative culture, continuous learning opportunities, and the chance to shape innovative solutions.
- Why this job: Be at the forefront of AI technology, working with diverse teams and clients to make a real difference.
- Qualifications: Deep expertise in MLOps tools, strong communication skills, and leadership experience required.
- Other info: Must have the right to work in the UK; no visa sponsorship available.
The predicted salary is between 43200 - 72000 £ per year.
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. 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.
Machine Learning Specialist employer: JR United Kingdom
Contact Detail:
JR United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Machine Learning Specialist
✨Tip Number 1
Network with professionals in the AI and machine learning field. Attend industry events, webinars, or meetups to connect with potential colleagues and clients. This can help you gain insights into the latest trends and possibly lead to referrals.
✨Tip Number 2
Showcase your expertise by contributing to open-source projects or writing articles on platforms like Medium or LinkedIn. This not only demonstrates your knowledge but also helps you build a personal brand that can attract attention from recruiters.
✨Tip Number 3
Prepare for technical interviews by practising common machine learning scenarios and problems. Familiarise yourself with MLOps tools mentioned in the job description, as hands-on experience will set you apart during discussions with potential employers.
✨Tip Number 4
Engage with the consultancy's online presence. Follow them on social media, comment on their posts, and share relevant content. This shows your genuine interest in their work and can help you stand out when applying through our website.
We think you need these skills to ace Machine Learning Specialist
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AI/ML solutions, MLOps tools, and any relevant projects. Use keywords from the job description to demonstrate that you meet the specific requirements.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and data consultancy. Discuss how your skills align with the role's responsibilities, particularly in building scalable AI solutions and collaborating with clients.
Showcase Relevant Projects: Include examples of past projects where you've designed or implemented AI/ML solutions. Highlight your role in these projects, focusing on the impact they had and any challenges you overcame.
Prepare for Technical Questions: Anticipate technical questions related to MLOps, AI infrastructure, and model lifecycle management. Be ready to discuss your hands-on experience with tools like MLflow, Docker, and Azure, as well as your approach to problem-solving.
How to prepare for a job interview at JR United Kingdom
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with MLOps tools like MLflow, DVC, and Kubeflow. Highlight specific projects where you successfully deployed and managed AI/ML solutions in production environments.
✨Demonstrate Effective Communication Skills
Since the role involves working closely with clients and multidisciplinary teams, practice articulating complex technical concepts in a clear and concise manner. Prepare examples of how you've effectively communicated with stakeholders in past projects.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and ability to design tailored MLOps solutions. Think of scenarios where you've identified client challenges and how you approached them to deliver scalable AI solutions.
✨Emphasise Leadership and Mentoring Experience
As this role involves mentoring cross-functional teams, be ready to share your experiences in leading teams and fostering innovation. Discuss how you've contributed to the development of others and promoted best practices in your previous roles.
