Senior Machine Learning Engineer

Menlo Ventures; City Of London; Hybrid; GBP 75,000 - 102,000; Full time

Job summary

A leading TechBio company is seeking a Senior Machine Learning Engineer in London to build an advanced machine learning platform aimed at accelerating drug discovery. The role involves designing scalable infrastructures and optimizing workflows while collaborating with ML teams. Candidates should have experience with distributed systems, model optimization, and infrastructure for agentic systems. This position offers a competitive salary ranging from £75,900 to £101,900, a hybrid working model, and additional benefits.

Benefits

Conference attendance support

Weekly skill-sharing opportunities

Coaching for leadership development

Qualifications

• Experience designing and building large distributed systems with elegant interfaces.
• Proven experience with optimization techniques for large-scale model inference.
• Expertise in building infrastructure for agentic systems and workflow management.
• Strong background in the full lifecycle of ML and software development in production.
• Ability to own projects in a collaborative open environment.

Responsibilities

• Build a machine learning platform enabling full model lifecycle from development to deployment.
• Design scalable LLM serving infrastructure for high-throughput inference.
• Architect infrastructure for multi-agent coordination and autonomous decision-making.
• Continuously optimize the platform to support evolving machine learning needs.
• Create tools supporting model development, without responsibility for building models.

Skills

Large distributed systems design

LLM serving infrastructure

Orchestration frameworks

Collaborative project ownership

Mentoring and coaching

Education

Relevant degree in a technical field

Tools

PyTorch

GCP

Docker

Kubernetes

BigQuery

Job description

Your work will change lives. Including your own.

The Impact You’ll Make

As a Senior Machine Learning Engineer, you will be building a platform that accelerates drug discovery with machine learning for a wide variety of use cases with respect to data modality, model architecture, and model size. By leveraging your experience in machine learning, software engineering, infrastructure, and data, you will:

• Build our machine learning platform from a mixture of off-the-shelf and custom tooling as needed to enable the full model lifecycle from development through deployment
• Design and implement scalable LLM serving infrastructure to support high-throughput inference and real-time model serving capabilities
• Architect infrastructure for agentic systems, including multi-agent coordination, workflow orchestration, and autonomous decision-making pipelines
• Partner with ML teams actively developing models to onboard them to platform capabilities
• Continuously optimize the platform to support our emerging machine learning research capabilities and evolving use case needs
• Build and maintain orchestration frameworks for complex ML workflows, including agent-based systems and multi-modal model pipelines
• Inspire your team and stakeholders alike to find the best outcome by facilitating constructive dialogue, reconciling perspectives into a unified view
• Create tools and experiences that support the development of models -- however you won't be responsible for building machine learning models

The Team You’ll Join

The ML Infra team vision is to build and maintain a centralized platform composed of best-in-class tooling for machine learning, including intelligent agentic orchestration and LLM-powered capabilities. We strive to make machine learning easy and accessible across the organization by offering low barrier-to-entry solutions for building intelligent, self-managing machine learning pipelines from development through deployment. In a rapidly evolving landscape of MLOps tooling, agentic systems, and large language models, we aim to foster a culture of continuous learning and growth to stay informed of emerging technologies, and prudently incorporate them into the platform as makes sense for Recursion's wide portfolio of ML/AI use cases.

The Experience You’ll Need

• Experience designing and building large distributed systems with elegant interfaces that can scale easily
• Proven experience with LLM serving infrastructure, including optimization techniques for large-scale model inference, batching strategies, and resource management
• Expertise in building infrastructure for agentic systems, including multi-agent architectures, coordination protocols, and autonomous workflow management
• Strong background in orchestration frameworks and workflow management systems for complex ML pipelines and agent-based workflows
• Proficiency with the full lifecycle of ML and software development in production, including
• Data preparation, model training, evaluation, deployment, and monitoring
• Releasing, and maintaining mature ML products
• Authoring well tested, scalable, documented code, peer reviews, CI/CD
• Experience with model optimization, quantization, and serving frameworks for efficient LLM deployment
• Knowledge of distributed agent coordination, task scheduling, and inter-agent communication patterns
• Ability to own projects in a collaborative open environment
• Ability to be a mentor, coach, and sponsor to peers and colleagues
• Nice to haves: PyTorch, GCP, CUDA, Docker, Kubernetes, BigQuery, large scale distributed systems, vLLM, Ray, Prefect, LangChain, model quantization techniques, distributed inference frameworks, agent orchestration platforms, workflow management systems

How You’ll be Supported

• A member of the ML Infra team will be your trail guide to ensure smooth onboarding
• You will be encouraged to attend one conference of your choice per year paid for by Recursion in support of our value of ‘We Learn’
• You will be provided opportunities to share your work and teach others new skills through weekly initiatives like Wednesday Wins and Tech Talks
• You will have the option to participate in coaching like BetterUp for leadership skills and development programs
• Our team will get together in person once a year (usually in Salt Lake) to build alignment and motivation as well as spend quality time with one another

Working Location & Compensation:

This is an office-based, hybrid position at our UK headquarters located in London, England. Employees are expected to work in the office at least 50% of the time.

At Recursion, we believe that every employee should be compensated fairly. Based on the skill and level of experience required for this role, the estimated current annual base range for this role is £75,900 to £101,900. You will also be eligible for an annual bonus and equity compensation, as well as a comprehensive benefits package.

#LI-EP1

The Values We Hope You Share:

• We act boldly with integrity. We are unconstrained in our thinking, take calculated risks, and push boundaries, but never at the expense of ethics, science, or trust.
• We care deeply and engage directly. Caring means holding a deep sense of responsibility and respect - showing up, speaking honestly, and taking action.
• We learn actively and adapt rapidly. Progress comes from doing. We experiment, test, and refine, embracing iteration over perfection.
• We move with urgency because patients are waiting. Speed isn’t about rushing but about moving the needle every day.
• We take ownership and accountability. Through ownership and accountability, we enable trust and autonomy—leaders take accountability for decisive action, and teams own outcomes together.
• We are One Recursion. True cross-functional collaboration is about trust, clarity, humility, and impact. Through sharing, we can be greater than the sum of our individual capabilities.

Our values underpin the employee experience at Recursion. They are the character and personality of the company demonstrated through how we communicate, support one another, spend our time, make decisions, and celebrate collectively.

More About Recursion

Recursion (NASDAQ: RXRX) is a clinical stage TechBio company leading the space by decoding biology to radically improve lives. Enabling its mission is the Recursion OS, a platform built across diverse technologies that continuously generate one of the world’s largest proprietary biological and chemical datasets. Recursion leverages sophisticated machine-learning algorithms to distill from its dataset a collection of trillions of searchable relationships across biology and chemistry unconstrained by human bias. By commanding massive experimental scale — up to millions of wet lab experiments weekly — and massive computational scale — owning and operating one of the most powerful supercomputers in the world, Recursion is uniting technology, biology and chemistry to advance the future of medicine.

Recursion is headquartered in Salt Lake City, where it is a founding member of BioHive, the Utah life sciences industry collective. Recursion also has offices in Toronto, Montréal, New York, London, Oxford area, and the San Francisco Bay area. Learn more at Recursion.com, or connect on X (formerly Twitter) and LinkedIn.

Recursion is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected under applicable federal, state, local, or provincial human rights legislation.

Accommodations are available on request for candidates taking part in all aspects of the selection process.