Head of AI Engineering

 

Permanent - Manchester

Hybrid with a focused on-site presence

 

Join a pioneering 5yr+ TechBio company at the intersection of AI, synthetic biology, and industrial biotechnology. You will lead the building of an AI engineering platform connecting computational design, experimental validation, and real-world commercial outcomes. Reporting directly to the CEO, sitting on the management team, and engaging with the Board.

This is a hands-on leadership role with genuine scope to shape the company's long-term technical position.

 

The tasks of a Head of AI Engineering will include:

• Build & lead the AI engineering team; hiring, coaching, designing, delivering.
• Contribute hands-on in coding, architecture, and technical problem-solving.
• Define and build the AI platform connecting data, models, workflows, and learning loops.
• Design and deploy agentic AI capabilities that improve scientific workflows and platform intelligence.
• Build the software foundations for autonomous closed-loop experimentation linking computational design and lab validation.
• Partner with leadership to translate challenges into scalable AI systems.
• Shape technical strategy, hiring, and engineering standards as company scales.

 

To progress as a successful Head of AI Engineering, you will require:

• 5+ years leading engineering, ML, or AI teams at Director or equivalent level.
• Deep expertise in AI/ML; model architectures, training, evaluation, and production deployment.
• Strong software engineering background building production-grade AI platforms and infrastructure.
• Proven experience building and deploying agentic systems into live workflows.
• A player-coach approach; equally comfortable writing code, setting architecture, and leading people.
• Strong communication skills across technical, scientific, and executives.

 

Highly desirable skills include:

• Exposure or understanding of AI and ML in a scientific or biotech environment
• Familiar with specialised datasets, iterative learning loops, or semi-autonomous experimentation systems.

Please Note

• Own eligibility to work in the UK —  sponsorship is not available for this role.
• Significant experience in elite level AI environments is critical.

Rewards & Benefits

• Competitive salary plus equity.
• Senior leadership role with direct CEO and Board exposure.
• The opportunity to build something unique in a well-backed, science-led environment.

 

Keyword terminology
AI Engineering, Machine Learning, Agentic AI, AI Platform, Closed-Loop Experimentation, Autonomous Experimentation, Protein Engineering, Biocatalysis, Computational Biology, 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.

 

React Native Mobile Developer
Permanent
Manchester Centre

Hybrid – after initial engagement, circa 3 or 4 days WFH

 

Join our exciting client creating world-class mobile experiences that delight users and push the boundaries of innovation. As a Senior Mobile Developer, you’ll play a key role in shaping and delivering high-quality apps that combine exceptional design with robust functionality. This is an opportunity to work with cutting-edge technologies, collaborate across teams, and make an immediate impact in a fast-growing, ambitious company.

The tasks of a Mobile Developer will include:
• Build and own mobile features end-to-end: plan, develop, test, deploy, and iterate.
• Collaborate with product owners, designers, and engineers to define requirements and deliver elegant solutions.
• Contribute to discovery and ideation sessions, influencing the mobile roadmap.
• Ensure best practices in coding, testing, and performance optimization.
• Work closely with cross-functional teams to address feature requests and resolve issues quickly.

To progress as a successful Mobile Developer you will require:
• Strong commercial experience with React Native.
• Hands-on experience with Redux in production environments.
• Familiarity with React Native Testing Library and Jest for unit testing.
• Excellent collaboration skills and ability to work with developers, UX teams, and product owners.
• Bonus: Experience or interest in PHP, Laravel, or native iOS/Android development.
• Self-sufficient, proactive, and able to hit the ground running.

Rewards & Benefits
• Competitive salary: £60,000–£75,000 (flexible for exceptional candidates).
• Hybrid working: 3 or 4 days WFH plus flexible hours.
• Extensive holidays, holiday allowance and holiday purchase scheme.
• Your own L&D budget for your career development.
• Enhanced maternity, paternity, adoption leave.
• A broad range of bespoke staff benefits and allowances

Keywords
Senior Mobile Developer, Mobile Engineer, Applications Engineer, React Native, Redux, ReactNative, Jest, Mobile App Development, iOS, Android, React-Native, CI/CD, Agile, Cross-Platform Development.

Generative AI Engineer
Permanent
Manchester

Join our client in influencing the future of enterprise AI. As a Senior or Lead Engineer, you’ll drive innovation by building and deploying cutting-edge Generative AI applications that empower thousands daily. This is your opportunity to contribute to the leadership of a team who influence AI strategy and deliver solutions that transform efficiency at scale.

Duties of the Gen AI Engineer will include:
• Architect, develop, and deploy high-impact GenAI applications into production.
• Evaluate and optimize Large Language Models (LLMs) for performance and accuracy.
• Collaborate with cross-functional teams to integrate AI solutions seamlessly.
• Champion best practices in prompt engineering and model evaluation.
• Mentor and grow engineering talent, fostering a culture of excellence and continuous improvement.
• Stay ahead of emerging AI trends, helping shaping the organization’s AI roadmap.

To be successful in progressing with the Gen AI Engineer, your experience must include:
• A proven expertise in Python development of AI-driven applications.
• Hands-on experience with LLMs and prompt optimization.
• Strong knowledge of AWS services (Bedrock, Lambda, S3, Lex, CloudWatch).
• Ability to lead and inspire teams, with excellent communication skills.
• Familiarity with DevOps practices (CI/CD pipelines, GitLab Runners, Jenkins)

• Familiarity with Infrastructure as Code (Terraform, CloudFormation).
• Experience with containerization (Docker) and deployments to ECS/EKS.
• Ideally career experience to include regulated environments, data engineering concepts, and security best practices.

Rewards & Benefits
• Competitive salary and performance-based bonus.
• Flexible hybrid working model.
• Comprehensive benefits package including pension, health coverage, and wellness programs.
• Continuous learning opportunities: certifications, AI training, and leadership development.
• A culture that values innovation, collaboration, and diversity.

Keywords Generative AI Engineer, AI Solutions Engineer, AI Application Engineer, Machine Learning Engineer, LLM, Python, AWS Bedrock, Prompt Engineering, DevOps, CI/CD, Terraform, Docker, AI Strategy, Machine Learning, Large Language Models.