At a Glance
- Tasks: Design and deploy ML models for biotech challenges like protein folding and genomic analysis.
- Company: Join a cutting-edge biotech team tackling complex life sciences problems.
- Benefits: Enjoy a hybrid work model, competitive pay, and the chance to innovate in healthcare.
- Other info: Immediate start for a contract role lasting 12-18 months, outside IR35.
- Why this job: Make a real-world impact by applying AI to biological issues in a collaborative environment.
- Qualifications: 4+ years in machine learning, with 2+ years in biotech or life sciences required.
The predicted salary is between 48000 - 84000 £ per year.
Job Description
?? Contract Role: Machine Learning Engineer – Biotech & GenomicsLocation: Hybrid (London based)Contract Type: 12–18 months, Outside IR35Start Date: ImmediateRate: Competitive, based on experienceWe’re working with a group of biotech innovators focused on solving some of the most complex challenges in life sciences — from protein folding and genomic analysis to biomedical imaging and drug discovery. These teams are seeking a Machine Learning Engineer with deep technical expertise and a passion for applying AI to real-world biological problems.?? What You’ll Be Working On:
- Designing and deploying ML models for protein structure prediction, genomic pattern recognition, and cell image segmentation
- Collaborating with bioinformaticians, data scientists, and software engineers to build scalable pipelines for research and clinical applications
- Fine-tuning and optimizing models using tools like AlphaFold, RoseTTAFold, BioBERT, and DeepCell
- Integrating ML workflows with platforms such as Benchling, PubMed APIs, and internal R&D systems
- Supporting model validation, performance benchmarking, and regulatory documentation
- ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers
- Bio-AI Tools: AlphaFold, RoseTTAFold, BioBERT, DeepCell, Cellpose
- Data Sources: Genomic datasets, microscopy images, biomedical literature
- Cloud & DevOps: AWS/GCP, Docker, Kubernetes, MLflow
- Languages: Python (essential), SQL, Bash
- 4+ years of experience in machine learning, with at least 2 years in biotech, healthcare, or life sciences
- Strong understanding of biological data types (e.g., DNA/RNA sequences, protein structures, cell images)
- Experience working with open-source bioinformatics tools and APIs
- Comfortable building end-to-end ML pipelines in cloud environments
- Familiarity with regulatory considerations in clinical or research settings (e.g., HIPAA, GxP)
ML engineer in BIOTECH & genomics in London employer: Opus Recruitment Solutions Ltd
Join a pioneering biotech firm in London that is at the forefront of life sciences innovation, where your expertise as a Machine Learning Engineer will directly contribute to groundbreaking advancements in protein folding and genomic analysis. With a collaborative work culture that values creativity and technical excellence, you will have access to cutting-edge tools and technologies, alongside ample opportunities for professional growth and development in a dynamic hybrid environment. This role not only offers competitive remuneration but also the chance to make a meaningful impact on healthcare solutions.
Contact Details:
Opus Recruitment Solutions Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land ML engineer in BIOTECH & genomics in London
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Opus Recruitment Solutions Ltd. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Opus Recruitment Solutions Ltd!
We think you need these skills to ace ML engineer in BIOTECH & genomics in London
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Opus Recruitment Solutions Ltd that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Opus Recruitment Solutions Ltd.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Opus Recruitment Solutions Ltd does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Opus Recruitment Solutions Ltd
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Opus Recruitment Solutions Ltd. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Opus Recruitment Solutions Ltd's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Opus Recruitment Solutions Ltd. This shows your passion for the industry!
