Support Engineer

United Kingdom
Today
£40,000 – £60,000 pa

Salary

£40,000 – £60,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Mid
Education
Degree
Posted
30 Apr 2026 (Today)

Isomorphic Labs is applying frontier AI to help unlock deeper scientific insights, faster breakthroughs, and life-changing medicines with an ambition to solve all disease.

The future is coming. A future enabled and enriched by the incredible power of machine learning. A future in which diseases are curtailed or cured starting with better and faster drug discovery.

Come and be part of an interdisciplinary team driving groundbreaking innovation and play a meaningful role in contributing towards us achieving our ambitious goals, while being a part of an inspiring and collaborative culture.

The world we want tomorrow is the one we’re building today. It starts with the culture at this company. It starts with you.

About Iso

Isomorphic Labs (IsoLabs) was launched in 2021 to advance human health by building on and beyond the Nobel-winning AlphaFold system. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed.

Our name comes from the belief that there is an underlying symmetry between biology and information science. By harnessing AI’s powerful capabilities, we can use it to model complex biological phenomena to help design novel molecules, anticipate how drugs will perform and develop innovative medicines to treat and cure some of the world’s most devastating diseases.

We have built a world-leading drug design engine comprising AI models that are capable of working across multiple therapeutic areas and drug modalities. We are continually innovating on model architecture and developing cutting-edge capabilities to advance rational drug design.

Every day, and with each new breakthrough, we’re getting closer to the promise of digital biology, and achieving our ambitious mission to one day solve all disease with the help of AI.

Your impact

As a key member of the Support team, this role will directly influence the efficiency and effectiveness of our support operations, ultimately contributing to a positive user experience and the overall productivity of the company. This position offers the opportunity to shape our support strategy, drive innovation through automation, and play a vital role in scaling our teams to support future growth.

What you will do

  • Provide technical support, troubleshooting complex issues, and implementing solutions.
  • Develop and maintain automation tools to improve efficiency and reduce manual effort.
  • Manage and integrate 3rd party tools and APIs to enhance system functionality.
  • Collaborate with other teams to resolve technical issues and improve processes.
  • Document technical solutions and create knowledge base articles.
  • Assist with the technical onboarding of new employees, ensuring they have the necessary tools and access.
  • Work with vendors and partners to deliver shared technology and communication services.
  • Develop and maintain workflows and processes for internal support and vendor engagements.

Skills and qualifications

Essential:

  • Strong troubleshooting and problem-solving skills.
  • Google access provisioning and permission lifecycle.
  • Excellent communication skills (written and verbal).
  • Experience supporting a wide range of hardware and software (macOS, Linux essential).
  • Experience with scripting and automation tools (Bash, Python etc.)
  • Background partnering with the onboarding team to set up IT equipment and knowledge off how to off-board employees.
  • Experience managing and integrating 3rd party tools and APIs.
  • Experience with ticketing systems
  • Ability to work independently and as part of a team.
  • Strong customer service orientation.
  • Ability to prioritize and manage multiple tasks.
  • A desire to learn and grow in the role.

Nice to have:

  • Knowledge of security best practices.
  • Experience with developer experience tools.
  • Excellent documentation skills, with a focus on accuracy and clarity.


Culture and values

We are guided by our shared values. It's not about finding people who think and act in the same way. These values help to guide our work and will continue to strengthen it.

Thoughtful
Thoughtful at Iso is about curiosity, creativity and care. It is about good people doing good, rigorous and future-making science every single day.

Brave
Brave at Iso is about fearlessness, but it’s also about initiative and integrity. The scale of the challenge demands nothing less.

Determined
Determined at Iso is the way we pursue our goal. It’s a confidence in our hypothesis, as well as the urgency and agility needed to deliver on it. Because disease won’t wait, so neither should we.

Together
Together at Iso is about connection, collaboration across fields and catalytic relationships. It’s knowing that transformation is a group project, and remembering that what we’re doing will have a real impact on real people everywhere.


Creating an extraordinary company

We believe that to be successful we need a team with a range of skills and talents. We're building an environment where collaboration is fundamental, learning is shared and every employee feels supported and able to thrive. We value unique experiences, knowledge, backgrounds, and perspectives, and harness these qualities to create extraordinary impact.

We are committed to equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy or related condition (including breastfeeding) or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know.


Hybrid working

It’s hugely important for us to share knowledge and build strong relationships with each other, and we find it easier to do this if we spend time together in person. This is why we follow a hybrid model, andwould require you to be able to come into the office 3 days a week (currently Tuesday, Wednesday, and one other day depending on which team you’re in). If you have additional needs that would prevent you from following this hybrid approach, we’d be happy to talk through these if you’re selected for an initial screening call.

Please note that when you submit an application, your data will be processed in line with our privacy policy.


>> Click to view other open roles at Isomorphic Labs

Related Jobs

View all jobs

Senior Data Engineer

ISR Recruitment Manchester, United Kingdom

Senior Software Engineer, Chem-Bio

AI Security Institute London, United Kingdom
£50,000 – £80,000 pa On-site Clearance Required

Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB

Databricks London, United Kingdom

Senior Machine Learning Data Scientist - Credit Risk

Martin Veasey Talent Solutions Northampton, Northamptonshire, United Kingdom
£80,000 – £120,000 pa Hybrid

Data Science Engineer

Tenth Revolution Group Manchester, United Kingdom
£60,000 – £80,000 pa Hybrid Clearance Required

Data Science Engineer

Tenth Revolution Group London, United Kingdom
£60,000 – £80,000 pa Hybrid Clearance Required

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.