AI Engineer

Harnham - Data and Analytics Recruitment; Abingdon; On-site; GBP 149,000 - 164,000; Full time

Benefits offered by this job

Bonus

Equity

Job summary

HealthTech Startup in Cambridge, MA is seeking an AI Engineer to lead production-grade ML systems. You will design, train and deploy models, and own the ML lifecycle from concept through production in a fast-growing startup.

The role emphasizes hands-on engineering, scalability, and collaboration with cross-functional teams, with equity and bonus potential as part of the package.

Qualifications

• Proven track record deploying ML models to production.
• Experience with cloud infrastructure and MLOps is preferred.
• Familiarity with scalable ML systems and production tooling.

Responsibilities

• Design, train and deploy ML models from concept to production.
• Manage infrastructure, scalability and ML ops pipelines.
• Collaborate with engineering, product and domain experts.

Skills

AI/ML experience

Production ML deployment

Cloud/MLOps

Software engineering

Startup experience

Job description

AI Engineer | Venture-Backed HealthTech Startup
Cambridge, MA
$200,000 - $220,000 + bonus + equity
4 days per week on-site

Join a well-funded, mission-driven start-up using AI to transform the way serious diseases are detected and monitored.

Having secured over $30M in early-stage funding and backed by leading investors, the company is entering an exciting growth phase as it prepares for its next major funding milestone. Their platform generates personalised health insights over time, with a live product already being used through a dedicated mobile application.

The Role

You’ll be responsible for taking machine learning solutions from concept through to production, working across:

• ML model design, training and deployment
• Infrastructure, scalability and MLOps
• Productionising AI systems
• Monitoring, optimisation and performance improvement
• Collaborating closely with engineering, product and domain experts

This is an engineering-focused role suited to someone who enjoys shipping robust ML systems rather than pure research.

What We're Looking For

• Strong AI & machine learning and software engineering experience
• Track record of deploying ML models into production
• Experience with cloud infrastructure and MLOps
• Startup mindset and high ownership mentality
• Healthcare, biotech or life sciences experience is beneficial but not essential

Why Join?

• Opportunity to work on technology with meaningful real-world impact
• Backed by an experienced founding team with deep expertise in AI and life sciences
• Over $30M raised to date, providing the resources of a well-funded scale-up with the agility of a startup
• Join at an exciting stage of growth ahead of a major funding event
• High autonomy and influence within a small, highly technical team

Interview Process

1. Introductory conversation with the hiring manager
2. Three technical interview stages
3. Final onsite cultural and team-fit assessment

Ideal for AI engineers who enjoy building and scaling production-grade machine learning systems in a fast-paced, well-funded startup environment.