Company Overview
We aim to build exceptional teams in the tech space, focusing on two core engineering specialisms: Advanced Software Engineering and AI, ML, & Data Engineering. As a multi-award-winning global staffing specialist, we’re passionate about connecting talented individuals with some of the world’s top companies. Starting out as the leading niche recruitment experts in Scala eight years ago, we’ve expanded our expertise to support clients and candidates in building exceptional tech teams across a wider range of specializations. From our offices in LA, Austin, and London, we offer both permanent and contract technology staffing solutions and are dedicated to nurturing the tech community. We share knowledge through blogs and podcasts, organize meetups, sponsor events, and offer some of the coolest jobs on the market. We are a minority-owned business certified by MSDUK and our mission is to diversify and evolve the tech space. We support our clients in their DEI (Diversity, Equity, and Inclusion) journeys and are committed to transforming the industry by providing opportunities to individuals from underrepresented backgrounds. Our dedication to DEI is reflected in our values and we believe that the strength of a company lies in the diversity of its people. ‘No. 11 on London’s Best Small Companies To Work For’ ‘No. 15 on Recruitment’s Best Companies To Work For’ ‘No. 31 on The UK’s 100 Best Small Company To Work For’ ‘Best Recruitment Company to Work For (£5M – £50M) – Tiara Recruitment Awards’ ‘Recruiter Hot 100 – Ranking #49’ ‘The Sonovate Client Service Award – Tiara Recruitment Awards’ ‘APSCo Embrace award 2023’ ‘Certified as a Great Place to Work UK 2023’ ‘Best Tech Recruiter – Global Business Tech Awards 2023’ ‘Ryan Adams – Leader of the Year – British Recruitment Awards 2022’ Accredited by APSCo, the regulatory body for the Recruitment industry.
About the job
Machine Learning Engineer – Generative AI
We are a mission-driven organization dedicated to transforming healthcare through cutting-edge AI, machine learning, and large-scale data engineering. Our team is focused on leveraging advanced technology to enhance patient outcomes by accelerating the development and adoption of life-saving treatments. We have worked on groundbreaking projects that support medical innovation, enhance diagnostics, and enable better access to novel therapies. By joining us, you will contribute to meaningful work that impacts lives.
About the Role
We are looking for a Machine Learning Engineer to play a pivotal role in advancing our Generative AI platform. In this role, you’ll collaborate closely with our technical leadership and a team of highly skilled AI researchers, engineers, and product managers. You’ll be given autonomy and responsibility to make a tangible impact on our company’s growth while optimizing workflows for thousands of users.
What You’ll Do:
• Design and develop AI-driven applications leveraging large language models (LLMs).
• Collaborate with stakeholders and users to deliver solutions that address high-impact business needs.
• Stay current with advancements in generative AI, experimenting with LLMs, vector search, and other related technologies.
Who You Are:
• Passionate about generative AI and eager to push the boundaries of what it can achieve.
• Motivated to contribute to a high-performance team working toward a long-term vision with iterative deliverables.
• An entrepreneurial problem solver who thrives in both technical and strategic discussions.
• Focused on delivering scalable and high-quality AI-powered solutions.
What You Bring:
• 5+ years of experience in software engineering or machine learning.
• Strong proficiency in Python; experience with Ruby is a plus.
• Hands-on experience with LLMs and machine learning model development.
• Expertise in building, deploying, and scaling cloud-based APIs.
Tech Stack:
•Machine Learning: Python, Scala, Apache Spark, cloud-based data platforms
•Generative AI: OpenAI, Anthropic, Langchain, vector search databases, FastAPI
•Web Technologies: Ruby on Rails, Postgres, Redis
•Infrastructure & Ops: AWS
How to Apply:
APPLY