What we do

<p>Richard Wheeler Associates is a leading technology recruiter working in software engineering and digital technology.</p>

What we stand for

IT & Technology Recruitment. Building Software Teams

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Principal / Lead Software Engineer, IaC on AWS, Python, Java, SQL, NoSQL, Cloud apps Hybrid remote - office based in west London 4 days per week Highly competitive BUPA, discretionary bonus A stunning opportunity for a Principal level Software Engineer - Python, Java, Infrastructure-as-Code on AWS, SQL, NoSQL - to join a high-growth biotechnology company at the forefront of the AI-driven drug discovery revolution. You will be involved in E2E application design, and be the expert in the team on building cloud-native applications, guiding best practice and patterns. The software engineering team, which works through the entire product life cycle, has a very varied portfolio; Java services in Kubernetes, data integration pipelines, cloud native large language model applications, GUI applications. As the Principal Software Engineer, you will work closely with the Head of Software Engineering to actively identify and guide the team through technical and operational challenges. *The successful candidate will be self-aware with intuition, gravitas, exceptional leadership and listening skills*. The role: Working with teams across the company to design, build, and deploy new software products to aid in drug discovery Monitoring and maintaining deployed software Being a leader in the engineering team on architecting applications in AWS Proactively supporting team members and wider company in achieving the company’s goals Looking out for improvements to ways of working Requirements: Generalist with a background in full-stack, end-to-end cloud application design and development Senior or leadership experience in a small team Experience of designing, planning, delivering to project deadlines/sprint goals Strong experience with infrastructure as code on AWS using a wide range of AWS services; ECS and networking especially, but including S3, SQS, RDS, CloudWatch Python application or Java expert, but keen polyglot - very confident in at least one other mainstream language Comfortable with SQL and NoSQL databases - both populating and querying Experience working with non-technical users - gathering and refining complex requirements

Lead Software Engineer - AWS IaC, Python, SQL, NoSQL - London

Product Owner, Scrum, CleanTech Based in Newbury, Berkshire 2 days a week, 3 days at home. Competitive salary Sustained growth has led to this new digital Product Owner / Product Manager opening with an award winning cleantech company. The Product Owner will drive the vision and roadmap for AWS hosted products being developed to deliver world-leading solutions for low carbon technologies. You will have proven experience of defining, developing and bringing customer facing software products to market using Agile/Scrum processes. The Role Translate business goals into actionable product roadmaps and user stories Own the product vision and roadmap Ensure a deep understanding of customer needs and market trends Manage the product backlog Coordinate and conduct sprint reviews, retrospectives and sprint planning Collaborate with engineers and designers to define product acceptance criteria Conduct user research and incorporate feedback into product iterations and feature enhancements Track product performance metrics and analyse data to identify areas for improvement You will need: Strong experience of implementing and maintaining Scrum processes Proven experience of defining, developing and bringing customer facing digital products to market Knowledge of user-centred design methods and how to apply to product development Excellent communication, collaboration, and stakeholder management skills Desirable: Certified Product Owner, Certified Scrum Master, Agile certification Experience working with embedded systems and/or edge computing is a plus Experience of delivering process transformation Knowledge of the UK energy sector Product Owner | Product Manager | Scrum Master

Product Owner, Scrum

Senior level AI Engineer, NLP, Large Language Models, ML, Biotech West London - office based 4 days per week Highly competitive BUPA high Bonus We’re looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet’ knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. You’ll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models 4 years of post-doctoral or similar commercial experience Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is essential with a preference for AWS Self-aware with intuition, gravitas, naturally strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C , R or Python SOA NLP APIs and Machine Learning / Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL Experience with graph databases Network Science and modern statistical methods would be a big 'plus’ You will be one of a handful of talented AI Engineers and Scientists to join a stunning, world class, tech team of problem solvers. This new team will embark on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms. Some of the wider benefits: BUPA for self partner/family, Discretionary bonus, 10% employer pension contribution

Senior AI Engineer, NLP, LLMs, ML - drug discovery - London

Project Manager - Energy Systems, Cleantech Hybrid working: 2 days per week in Newbury, Berkshire Salary: extremely competitive, award-winning company culture Sustained growth has led to this new Project Manager opening in our client’s Consultancy business, supporting the scoping, bidding, and delivery of energy transformation projects. The successful applicant will bring a track record of project delivery success in the energy transformation market. The role is based in their Newbury office 2 days each week. Too, there will be site visits at other locations as required. You will have: Experience of working with energy system stakeholders. Experience of managing field trials involving energy-related products. Knowledge of energy market structures and regulations. Project Management qualification, e.g. Prince 2 Experience of securing funding (highly advantageous) A strong creative and 'can do’ spirit: the work is exceptionally varied; every project is different. NB Sadly, we cannot consider applications with experience outside of the energy transformation market.