Senior Machine Learning Engineer

LifeArc; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An established industry player in life sciences is seeking a Senior Machine Learning Engineer to drive impactful patient solutions. This role involves leveraging machine learning and artificial intelligence to develop innovative computational models that enhance scientific research and patient care. You will be responsible for the entire ML lifecycle, from design to deployment, ensuring best practices in MLOps and collaborating across multidisciplinary teams. If you are passionate about making a difference in healthcare and thrive in a supportive, inclusive environment, this is the perfect opportunity to advance your career while contributing to life-changing solutions.

Benefits

Private health insurance

Pension scheme with up to 12% employer contributions

31 days of annual leave plus bank holidays

Flexible benefits package

Qualifications

• Experience developing ML models in life sciences or healthcare.
• Strong programming and software engineering expertise.

Responsibilities

• Design and implement ML/AI methods to generate value from data.
• Lead best practices for development and deployment of ML models.

Skills

Machine Learning

Artificial Intelligence

Neural Networks

Software Engineering

MLOps

CI/CD

Data Analysis

Communication Skills

Education

Higher level degree in computer science or related field

Tools

Python

Git

Job description

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Job Title: Senior Machine Learning EngineerLocation: London Job Type: Permanent

Agencies: We will only work with recruitment partners on our preferred supplier list and will not engage with speculative CVs submitted.

Are you passionate about making life science life changing and delivering impact for patients? We want to hear from you.

About the role:

This role applies expertise in machine learning (ML) and artificial intelligence (AI) to develop and deploy computational models that drive scientific advantage and patient impact using data which we generate or access.

• Responsible for designing, implementing, deploying and maintaining modern ML/AI methods to generate value from the data generated or accessed by the Platform for Clinical Data Sciences and other LifeArc groups.
• Supports the end-to-end lifecycle of the ML/AI models and applications on cloud infrastructure.
• Leads others on best practices for development, deployment and MLOps.
• Identifies new opportunities where ML/AI methods can be applied.
• Keeps up to date with current ML/AI approaches, best practices and tools associated with ML engineering and MLOps.
• Works across Data Science and within relevant LifeArc project teams to ensure the proper application of ML/AI methods and resulting models.
• Contributes expertise to the assessment and due diligence of potential external opportunities that use/develop ML/AI methods.
• Combines technical expertise with increasing understanding of business needs to identify the most appropriate routes to bringing ML/AI methods to impact.
• Makes effective use of coding skills, automation and end management of the lifecycle of ML models to develop own practical solution(s) to problems, applying best practices in algorithm and software development.
• Works closely with other colleagues in Data Sciences, and colleagues from other LifeArc groups to understand opportunities and priorities for ML/AI.
• Keeps up to date on new developments in this very fast-moving field.

Education & experience required:

• Higher level degree in a relevant discipline such as computer science, machine learning or a relevant scientific or quantitative field involving application of ML/AI methods.
• Experience of developing machine learning models, ideally tackling real-world challenges in a life sciences or healthcare context.
• Experience across the ML development lifecycle from research to deployment, with knowledge of MLOps, CI/CD and automation.
• Extensive programming experience and strong software engineering expertise in the context of productionising AI/ML.

Skills & abilities:

• Ability to work with a research team building complex ML models such as neural networks applied to areas such as imaging, NLP, omics or multimodal data.
• Ability to provide technical leadership on best practices in development, including code and data version control, reproducibility of experiments, documentation and environment management.
• Ability to work independently, to manage time and work to deadlines.
• Strong team player, both within own discipline and within a matrix organisation.
• Strong communication skills, both written and verbal.
• Excellent attention to detail.

About us:

At LifeArc, our ambition is to make life science life changing. We do this by advancing scientific discoveries beyond the lab, faster, so that they can shape the next generation of diagnostics, treatments, and cures.

Working at the cutting edge of translational science and as the early-stage translation specialists, we progress scientific discoveries on their journey to becoming a medicine, diagnostic or intervention that improve patients' lives. Our work begins by seeking out innovative science, then helping to develop this to a point where there is a clinical and commercial pathway for others to invest the time and money to take it further forward.

What we can offer you:

Focused on finding life changing solutions for underserved patients, our people thrive in an inclusive, and supportive environment that prioritises their health and wellbeing. Our multidisciplinary approach guarantees our people growth opportunities, while our culture of innovation and collaboration drives the impact we make delivering on our purpose of 'putting patients at the centre of everything we do'.

We are dedicated to creating a diverse, flexible, equitable and happy work environment so our colleagues can thrive as their truest selves. We act with courage, curiosity, care & commitment to deliver quality & excellence for our patients and each other Join us, and you'll be given the scope to develop your professional skills and experience in a safe, supportive and challenging environment

Salary will be determined by qualifications and experience along with other exceptional benefits. Because we understand everyone has different requirements, our flexible benefits allow you to choose those which are important to you. Our pension scheme offers employer contributions of up to 12%, private health insurance, and annual leave of 31 days PLUS bank holidays.

Don't meet every single requirement? Studies have shown that women and people from minority ethnic backgrounds, for example, are less likely to apply to jobs unless they meet every single qualification. At LifeArc we are dedicated to building a diverse, inclusive, and authentic workplace, so whatever your background or lived experience, if you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. Our top priority is finding the best candidate, and you may be just right for this or other roles.

We all have potential. At LifeArc, you'll discover what you can really do with it.