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Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Director of AI/Machine Learning, Drug Discovery | Pharma/BioTech | Series A - B2B Platform | EU Remote | | Salary Up to £200,000, plus early equity+benefits Our client is a pioneering technology provider that is reshaping how AI is applied within pharmaceutical R&D. They provides a neutral, production-grade infrastructure that enables global pharmaceutical companies to collaborate securely on large-scale AI models without ever sharing their proprietary data. By leveraging federated computing, they power multi-partner data networks across small molecules, antibodies, and protein folding. Unlike traditional biotech firms, they do not develop their own drug assets; instead, they empower their partners' computational teams to accelerate their own discovery programmes. The Role of Director of AI/Machine Learning, Drug Discovery | Pharma/BioTech | Series A - B2B Platform | EU Remote | | Salary Up to £200,000, plus early equity+benefits We are seeking a Director of Computational Drug Discovery to build and lead a high-impact team of application scientists. This is a hands-on, externally facing leadership role requiring deep scientific credibility and the ability to engage directly with senior stakeholders at the world's leading pharmaceutical companies You will bridge the gap between cutting-edge Machine Learning and real-world drug discovery, ensuring our models and workflows deliver measurable value in practical industrial settings. Responsibilities: • Own the scientific direction across various modalities and data types, defining which drug discovery problems and workflows the platform prioritises., • Act as a peer-level counterpart to pharma R&D leaders, providing authoritative guidance grounded in real-world discovery experience to help get new collaborations over the line., • Lead an established core team including senior medicinal chemists, machine learning engineers and oversee the recruitment of additional members over the next 6–9 months., • Partner with internal Product and ML/AI teams to translate customer needs into clear model requirements and enterprise-grade software solutions., • Represent the organisation within the scientific ecosystem through publications, talks, and direct engagement with the community. Requirements for the role: • PhD in computational chemistry, cheminformatics, computational drug discovery, or a closely related field., • 8+ years of post-PhD industry experience in computational drug discovery, with a proven impact on programmes from hit finding through to lead optimisation., • Deep, practical knowledge of structure-based and ligand-based design, ADMET modelling, and the integration of biophysical data., • Exceptional understanding of modern ML approaches and the judgement to know where these technologies materially improve outcomes., • Comfortable operating in a fast-paced, venture-backed, remote-first environment., • A clear drive to enable customer discovery programmes rather than running internal pipelines., • Strong undertanding of Co-Folding and OpenFold3 What can they offer you? • A high-influence role working closely with the founders to shape company strategy., • Up to 200,000 Euros or GBP depending on location salary, • Remote-first working with a dedicated work-from-home budget and co-working stipend., • Comprehensive suite of benefits, including a wellbeing budget and mental health support., • Generous holiday allowance. If you think you would be a good fit for the Director of AI/Machine Learning, Drug Discovery | Pharma/BioTech | Series A - B2B Platform | EU Remote | | Salary Up to £200,000, plus early equity+benefits - Drop over your CV and we will give you a call.

Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary 100K-115K, plus early equity+benefits The Client: Owen Thomas has partnered with a company that is looking for exceptional engineers that have a genuine interest in working with cutting-edge technology, in a fast-paced environment and a young start-up with big ambitions... The platform uses advanced technologies, such as federated learning and homomorphic encryption, which enable data analysis without moving the actual data. This means that organizations can leverage insights from diverse datasets while maintaining strict control over their own data privacy. The company are in a super exciting phase showing genuine impact in the drug discovery sector. They are facing ever increasing technical challenges around data privacy which requires the use of cutting edge technology. This business unlocks the potential of huge data ecosystems across industries - while alleviating security concerns across all stakeholders! Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary 100K-115K, plus early equity+benefits What will you be doing? • Partner with core engineering to revolutionize the IaC, CI/CD, and GitOps ecosystems. If it can be automated, it should be., • Take command of the customer deployment engine. You’ll be the force that turns complex platform installations into seamless, repeatable, and lightning-fast experiences., • You bring 3+ years of heavy-hitting experience and a solid academic foundation in CS, Physics, or Engineering., • Strong experience with Kubernetes, Terraform, Helm with deep expertise within AWS, • You translate complex technical "how-to" into clear, actionable English, building trust with high-level stakeholders and client teams alike., • You don’t just fix bugs; you enjoy dismantling technical barriers and building elegant solutions for real-world users. Experience needed for the Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary 100K-115K, plus early equity+benefits • 7+ years of relevant work experience, or a Bachelor’s/Master’s/PhD in Computer Science or related fields (e.g., Physics, Mathematics, Engineering) with at least 5 years of experience in relevant roles., • Proven experience in building, maintaining, and evolving secure containerized systems on Kubernetes and managing cloud infrastructure, on AWS, • Experience using Terraform., • Strong coding skills, preferably in Golang and/or Python, with proficiency in additional programming languages being a plus., • Excellent communication skills: fluent in English (both verbal and written) and capable of constructive and proactive communication., • Confident in taking ownership of problems, gathering ideas for solutions, and effectively conveying approaches to others., • Passionate about continuous learning and eager to work with cutting-edge technology in a dynamic startup environment. Renumeration for the Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary 100K-115K, plus early equity+benefits • Salary range 100,000 - 115,000 + Early stage equity, • Fully EU Remote working, • Contribution towards at home office set up or coworking space., • Laptop / Macbook, • Wellbeing budget, • Stock options If you are interested in working in an Engineering team of 25+ people, having a Positive Impact on the world, with some of the brightest minds across Europe to, drop over your CV and if we think you are a good match we will give you a call!

My client, undoubtedly one of the most exciting start-ups in the AI + Semiconductor space is looking for a Principal Analog Verification Engineer to join their team in Oxford. This role could also be based fully remotely, plus a superb salary. If you’re looking to do something completely different and really make an impact, read on. With substantial financial backing and a strong roadmap ahead of them, my client has the potential to completely transform semiconductor development. With a machine learning group already in place, they are now building a new analog team and seek an experienced Analog IC engineer with the desire and capability to shape and grow this new group. As the Senior / Principal Analog Verification Engineer you will be tasked with driving the creation of a machine-learning analog verification flow, creating and simulating transistor level circuits, as well as debugging and rectifying simulation and modelling issues. Our client is aiming to build a strong team, and so you will be key in helping to identify, recruit and mentor future Analog Verification Engineers. The key essentials are: • A BSc / MSc / PhD qualification within Electronic Engineering or similar, • Extensive industry experience within either Analog IC Design or Analog Verification, • A strong handle on Verilog-A (SystemVerilog would be an added bonus), • A background working within the power management space I’m looking for a great communicator who is excited to roll up their sleeves and help shape this fast-growing startup. An exceptional salary is on offer for the right candidate – my client can hire at Senior or Principal level. If this sounds like you, get in touch! Contact Caroline Pye @ IC Resources.

Elevation Recruitment Group are looking for an R&D Chemist to join a manufacturing business based in Leeds. This is a full-time role offering a competitive salary and benefits package. The company will consider applicants with at least one year of industry experience or relevant PhD experience. Our client is a well-established manufacturer supplying products to a range of markets. They have a focus on quality, innovation and technical expertise, with a collaborative and supportive culture. As the R&D Chemist you will: • Be involved in research, formulation and testing activities to support the development of new and improved products, • Develop and test new formulations in line with project requirements, • Improve existing products to meet customer, market or regulatory needs, • Conduct laboratory testing, trials and data analysis, • Prepare technical reports and maintain accurate documentation, • Work with production to scale up products from lab to manufacturing, • Keep up to date with industry developments and best practice To be considered for the R&d Chemist role you will need: We are keen to hear from people who can bring a strong technical foundation and an interest in developing their skills within product research and development. • Degree in Chemistry or related subject, or PhD in a relevant area, • At least one year of relevant industry or post-doctoral experience, • Knowledge of formulation chemistry and laboratory techniques, • Good analytical and problem-solving skills, • Strong communication and teamwork abilities, • Attention to detail and a methodical approach to work

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The Role As a Senior Software Engineer at Aveni, you’ll be responsible for building and scaling the products that sit on top of FinLLM (the UK's first LLM for the Financial Services industry) and other LLMs, enabling financial institutions to adopt AI safely and effectively. You won’t be expected to build or train the LLMs themselves, instead you’ll be engineering the platforms, services, user interfaces and integrations that bring those models to life in the hands of advisers, analysts and banking teams. Your work will focus on: • Designing and implementing robust event-driven microservices and APIs, • Building scalable, cloud-native systems on AWS, • Developing modern, responsive React front-ends, • Integrating LLM-powered capabilities into real-world workflows, • Collaborating closely with product and AI specialists to turn ideas into reliable, customer-ready features What you’ll be working with You should be comfortable with most of our core technologies: • Node.js and TypeScript, • React and modern front-end tooling, • AWS (e.g., Lambda, ECS/Fargate, API Gateway, SQS/SNS, DynamoDB, RDS), • NestJS or equivalent back-end frameworks, • Microservices and event-driven architectures We also actively embrace AI coding assistants (such as Claude Code) to speed up development, improve code quality and reduce repetitive work — and we encourage engineers to use these tools effectively. What we’re looking for: • Experience building production systems using Node.js / TypeScript, • Hands-on experience developing UIs with React, • Solid understanding of cloud-native engineering on AWS, • Experience with microservices, messaging patterns and distributed systems, • A commitment to clean code, testing, observability and operational excellence, • A proactive and motivated mindset — someone who wants to build, ship and iterate quickly, • Interest in AI-powered products and a drive to learn Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

Aquent is partnering with a leading technology company that is at the forefront of innovation, driving advancements in artificial intelligence to connect people globally. This organization is dedicated to pushing the boundaries of what's possible in technology, fostering a collaborative environment where groundbreaking research meets real-world impact. Are you a passionate linguist eager to shape the future of multilingual AI? We are seeking a dynamic and highly skilled individual to join a cutting-edge engineering team, where you will play a pivotal role in developing and refining advanced language technologies that impact millions worldwide. This is an incredible opportunity to leverage your deep linguistic expertise to directly influence the quality, fairness, and global reach of next-generation AI systems, contributing to groundbreaking research and making a tangible difference in how people communicate across diverse cultures and languages. This is a temporary, remote-working contract, offering up to £31.73 per hour – 40 hrs/week – (PAYE), until 31/12/2026. Whilst you can perform your duties remotely, you MUST be based in the UK with the necessary rights to work in the country (no relocation, or sponsorship can be offered). This role is open for a limited time. Next steps will be shared with shortlisted candidates ASAP. Due to the high volume of applicants, we may be unable to reply to each applicant individually. What You'll Do: • Perform in-depth linguistic analyses on extensive datasets to uncover critical patterns and insights., • Conduct comprehensive linguistic error analyses of AI model outputs, identifying the most frequent and severe error categories., • Develop and refine guidelines for human annotation tasks and other AI projects, including those focused on translation., • Lead typological and sociolinguistic research across a broad spectrum of languages, highlighting their unique characteristics and commonalities., • Execute linguistic analyses for Responsible AI initiatives, addressing toxic language, hate speech, gender bias, and other cultural biases in massively multilingual contexts., • Conduct linguistic literature reviews on topics adjacent to natural language processing and synthesize key findings., • Evaluate the quality of deliverables from various vendors, pinpointing error patterns and providing actionable feedback., • Serve as a subject matter expert, offering guidance on all aspects of linguistic knowledge, including typology, morpho-syntax, sociolinguistics, classification, phonetics/phonology, and pragmatics., • Engage and collaborate with native speakers across diverse languages to enrich research and development efforts., • Effectively communicate complex linguistic analysis results to engineering and research science teams., • Contribute to advanced language-related AI research projects, including those focused on multilingual systems and natural language processing., • Manage multiple research projects concurrently, ensuring timely and high-quality deliverables. Must-Have Qualifications: • Graduate degree in Linguistics or a closely related field., • Experience in a relevant linguistic or AI research role., • Native-level proficiency in a language other than English, with a strong preference for Hindi, and in-depth knowledge of other Indo-European or Dravidian languages of India., • Exceptional written and spoken communication skills, particularly in business and research contexts., • Proficiency in Python coding and the ability to query databases using SQL., • Demonstrated ability to work independently on complex requests and perform effectively under pressure., • Strong organizational skills, including the ability to prioritize, plan, track work, and report progress., • Very firm grasp of key linguistic fields: language typology, syntax, morphology, sociolinguistics (especially dialectology and discourse analysis), corpus linguistics, writing systems, pragmatics, and phonology., • Experience applying basic Natural Language Processing techniques., • Experience working cross-functionally and collaborating with machine learning, natural language processing, or software engineers, or data scientists., • Experience contributing to research papers., • Demonstrated excessive modeling experience., • No known conflicts of interest in advanced language technologies research, as this role contributes to research papers. Preferred Qualifications: • PhD in Linguistics or a related field., • Background or specialization in corpus linguistics., • Experience with field work., • Working knowledge of international language-classification standards. Client Description: Our Client is the largest social media company in the world. They have substantial B2B and B2C advertising and media platforms, as well as a nonprofit initiative. With the mission of bringing people together, they now boast over 2 billion users, and are rapidly developing as they influence the world around us. Aquent is dedicated to improving inclusivity & is proudly an equal opportunities employer. We encourage applications from under-represented groups & are committed to providing support to applicants with disabilities. We aim to provide reasonable accommodation for any part of the employment process, to those with a medical condition, disability or neurodivergence.

Job title: Principal AI Architect Location: Edinburgh / Remote Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. Summary We are looking for a Principal AI Architect to drive the design and implementation of cutting-edge AI architectures. This role is ideal for a technical leader with deep expertise in AI, LLMs, and autonomous systems, who thrives on solving complex challenges in a fast-paced, innovative environment. You will shape the strategic direction of AI systems, mentor engineering teams, and collaborate with stakeholders to ensure alignment between AI capabilities and business objectives. If you have a passion for building scalable, intelligent solutions that push the boundaries of AI, we’d love to hear from you. Key Responsibilities • Design and develop scalable AI architecture, including LLM integration, APIs, and agentic modules., • Define the technical roadmap for AI systems, ensuring high availability, security, and performance., • Collaborate with data scientists, ML engineers, and software engineers to optimise model deployment and infrastructure., • Establish best practices for AI/ML pipelines, including data ingestion, model training, and inference., • Research and integrate emerging AI technologies, frameworks, and methodologies., • Ensure compliance with regulatory and ethical AI standards. What We’re Looking For • Extensive experience in software architecture, with a focus on AI/ML systems., • Strong knowledge of cloud platforms (AWS, Azure, and GCP) for AI/ML workloads., • Hands-on experience with LLMs (OpenAI, Anthropic, Mistral, etc.) and fine-tuning techniques., • Proficiency in designing and implementing API-driven architectures., • Experience with vector databases, retrieval-augmented generation (RAG), and multimodal AI systems., • Familiarity with AI orchestration tools (e.g., LangChain, LlamaIndex, Ray, Dask)., • Strong programming skills in Python, Go, or JavaScript., • Understanding of MLOps and CI/CD pipelines for AI/ML models., • Knowledge of security best practices for AI applications., • Strong analytical and problem-solving abilities., • Excellent communication and technical documentation skills., • Ability to mentor and guide engineering teams on AI best practices., • Ability to work with academics and translate key technical progress to senior business stakeholders What We Offer • A collaborative and innovative work environment with awesome career growth opportunities, • 34 days holiday plus your birthday off (inclusive of bank holidays), • Share options – we believe in shared success, • Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do, • Remote and flexible working – remote, co-working spaces, or a mix of both, • Life insurance, income protection and private health care, • Freebies and discounts at a range of retailers, • Emotional wellbeing (Employee assistance programme provides access to 24/7 employee counselling and emotional support), • Cycle to work scheme, • Pension scheme (employer contribution matched up to 5%) Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We're committed to building a team that reflects the diverse communities we serve and creating an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about leveraging technology to drive positive change and want to be part of a team that's shaping the future of financial services, we'd love to hear from you. We know that some people are likely to only apply where they meet 100% of requirements, but we’d like to hear from you anyway. Apply now to join us on our mission to transform the financial services industry through AI!

Full-time | Remote with trips to Silicon Valley office | Reports to Founders Introduction: • Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI., • Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb, • Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What You’ll Work On: • Experiment with novel language model architectures, helping drive and execute Fastino's research roadmap, • Optimize Fastino’s multimodal models to improve response quality, instruction adherence, and overall performance metrics, • Architect data processing pipelines, implementing filtering, balancing, and captioning systems to ensure training data quality across diverse content categories, • Implement reinforcement learning techniques including Direct Preference Optimization and Generalized Reward Preference Optimization to align model outputs with human preferences and quality standards, • Build robust and real-world motivated evaluations, • Partner with Fastino engineering team to ship model updates directly to customers, • Establish best practices for code health and documentation on the team, to facilitate collaboration and reliable development What We’re Looking For: • Required - Great velocity for building and shipping agents / AI products., • Optional - Advanced degree (Master's or PhD) in Computer Science, Artificial Intelligence, Machine Learning, or related technical discipline with concentrated study in deep learning and computer vision methodologies, • Optional - Demonstrated ability to do independent research in Academic or Industry settings, • Optional - Substantial industry experience in large-scale deep learning model training, with demonstrated expertise in at least one of Large Language Models, Vision-Language Models, Diffusion Models, or comparable generative AI architectures, • Optional - Comprehensive technical proficiency and practical experience with leading deep learning frameworks, including advanced competency in one of PyTorch, JAX, TensorFlow, or equivalent platforms for model development and optimization

Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary 100K-115K, plus early equity+benefits The Client: Owen Thomas has partnered with a company that is looking for exceptional engineers that have a genuine interest in working with cutting-edge technology, in a fast-paced environment and a young start-up with big ambitions... The platform uses advanced technologies, such as federated learning and homomorphic encryption, which enable data analysis without moving the actual data. This means that organizations can leverage insights from diverse datasets while maintaining strict control over their own data privacy. The company are in a super exciting phase showing genuine impact in the drug discovery sector. They are facing ever increasing technical challenges around data privacy which requires the use of cutting edge technology. This business unlocks the potential of huge data ecosystems across industries - while alleviating security concerns across all stakeholders! Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary 100K-115K, plus early equity+benefits What will you be doing? • Partner with core engineering to revolutionize the IaC, CI/CD, and GitOps ecosystems. If it can be automated, it should be., • Take command of the customer deployment engine. You’ll be the force that turns complex platform installations into seamless, repeatable, and lightning-fast experiences., • You bring 3+ years of heavy-hitting experience and a solid academic foundation in CS, Physics, or Engineering., • Strong experience with Kubernetes, Terraform, Helm with deep expertise within AWS, • You translate complex technical "how-to" into clear, actionable English, building trust with high-level stakeholders and client teams alike., • You don’t just fix bugs; you enjoy dismantling technical barriers and building elegant solutions for real-world users. Experience needed for the Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary 100K-115K, plus early equity+benefits • 7+ years of relevant work experience, or a Bachelor’s/Master’s/PhD in Computer Science or related fields (e.g., Physics, Mathematics, Engineering) with at least 5 years of experience in relevant roles., • Proven experience in building, maintaining, and evolving secure containerized systems on Kubernetes and managing cloud infrastructure, on AWS, • Experience using Terraform., • Strong coding skills, preferably in Golang and/or Python, with proficiency in additional programming languages being a plus., • Excellent communication skills: fluent in English (both verbal and written) and capable of constructive and proactive communication., • Confident in taking ownership of problems, gathering ideas for solutions, and effectively conveying approaches to others., • Passionate about continuous learning and eager to work with cutting-edge technology in a dynamic startup environment. Renumeration for the Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary 100K-115K, plus early equity+benefits • Salary range 100,000 - 115,000 + Early stage equity, • Fully EU Remote working, • Contribution towards at home office set up or coworking space., • Laptop / Macbook, • Wellbeing budget, • Stock options If you are interested in working in an Engineering team of 25+ people, having a Positive Impact on the world, with some of the brightest minds across Europe to, drop over your CV and if we think you are a good match we will give you a call!

Director of AI/Machine Learning, Drug Discovery | Pharma/BioTech | Series A - B2B Platform | EU Remote | | Salary Up to £200,000, plus early equity+benefits Our client is a pioneering technology provider that is reshaping how AI is applied within pharmaceutical R&D. They provides a neutral, production-grade infrastructure that enables global pharmaceutical companies to collaborate securely on large-scale AI models without ever sharing their proprietary data. By leveraging federated computing, they power multi-partner data networks across small molecules, antibodies, and protein folding. Unlike traditional biotech firms, they do not develop their own drug assets; instead, they empower their partners' computational teams to accelerate their own discovery programmes. The Role of Director of AI/Machine Learning, Drug Discovery | Pharma/BioTech | Series A - B2B Platform | EU Remote | | Salary Up to £200,000, plus early equity+benefits We are seeking a Director of Computational Drug Discovery to build and lead a high-impact team of application scientists. This is a hands-on, externally facing leadership role requiring deep scientific credibility and the ability to engage directly with senior stakeholders at the world's leading pharmaceutical companies You will bridge the gap between cutting-edge Machine Learning and real-world drug discovery, ensuring our models and workflows deliver measurable value in practical industrial settings. Responsibilities: • Own the scientific direction across various modalities and data types, defining which drug discovery problems and workflows the platform prioritises., • Act as a peer-level counterpart to pharma R&D leaders, providing authoritative guidance grounded in real-world discovery experience to help get new collaborations over the line., • Lead an established core team including senior medicinal chemists, machine learning engineers and oversee the recruitment of additional members over the next 6–9 months., • Partner with internal Product and ML/AI teams to translate customer needs into clear model requirements and enterprise-grade software solutions., • Represent the organisation within the scientific ecosystem through publications, talks, and direct engagement with the community. Requirements for the role: • PhD in computational chemistry, cheminformatics, computational drug discovery, or a closely related field., • 8+ years of post-PhD industry experience in computational drug discovery, with a proven impact on programmes from hit finding through to lead optimisation., • Deep, practical knowledge of structure-based and ligand-based design, ADMET modelling, and the integration of biophysical data., • Exceptional understanding of modern ML approaches and the judgement to know where these technologies materially improve outcomes., • Comfortable operating in a fast-paced, venture-backed, remote-first environment., • A clear drive to enable customer discovery programmes rather than running internal pipelines., • Strong undertanding of Co-Folding and OpenFold3 What can they offer you? • A high-influence role working closely with the founders to shape company strategy., • Up to 200,000 Euros or GBP depending on location salary, • Remote-first working with a dedicated work-from-home budget and co-working stipend., • Comprehensive suite of benefits, including a wellbeing budget and mental health support., • Generous holiday allowance. If you think you would be a good fit for the Director of AI/Machine Learning, Drug Discovery | Pharma/BioTech | Series A - B2B Platform | EU Remote | | Salary Up to £200,000, plus early equity+benefits - Drop over your CV and we will give you a call.

About the Company Trine Energy is a UK based early stage startup developing products for transmission of electrical power (1MW+) using power of fiber (PoF) as the core technology. PoF is already in use in many industries. However the power used in those applications are in milliwatts. Our power transmission target is orders of magnitude higher. It is a challenging yet exciting problem to solve. We are working on the hypothesis that the production of power is a solved problem. Solar and wind based energy production has been rapidly scaling since the start of the century. In fact there is too much generation of solar and wind power in many European countries leading to curtailment and negative spot price of electricity. Renaissance of fission nuclear reactors and the advancements in fusion means there will be no shortage of electrical power. The challenge will be to distribute that power at a national and global scale. Today, the only option of distributing electrical power over distance is the power grid. It works, but just. It is a super old technology. It takes immense effort to build or expand, and is costly to maintain. According to various studies, ~$1 Trillion of annual investment is needed globally to upgrade and expand the grid networks to reach net zero target by 2050. Governments don’t have fiscal capacity to make such investments. It has not seen any real innovation for a very long time and there is none on the horizon to significantly reduce the cost. It gets unstable when there is too much intermittent power in the mix, which goes against the global drive for energy transition. It is fragmented, and has no global scale. Laser and fiber optic, in comparison, are modern technologies, enjoying rapid innovation. Both are highly flexible products. They have many interesting properties that electricity and power cables don’t have. They can be produced in significantly higher volumes and are easy to deploy. Their cost and performance are improving at Moore’s law scale. This opens the opportunity for us to build products and become an alternative to specific use cases that are easier to develop and implement in the near term, such as providing power redundancy using short distance transmission (<5km) to critical infrastructure such as defense systems and data centers. It is also possible to deliver electrical power as thermal energy for commercial and industrial heating. The long term goal is to create a global network of power, much like the internet, where producers and end users can connect instantly and seamlessly using our technology. The products that solve the energy distribution problem at a global scale have the potential to define a new industry. Our plan is to combine technologies from different fields of science and engineering such as high power diode and fiber lasers, specialised fiber optic, power over fiber, and thermal photovoltaic cells to achieve the goal. By using technologies that are already invented and commercialised, and pushing the boundaries of engineering and finance to create a product that solves one of the biggest energy transition bottlenecks, is a mission worth pursuing. About the role The Photonics Engineer is the engineering lead for high‑power optical delivery at Trine. You will own how multi‑kilowatt to megawatt‑class optical power is generated, guided through fibers and cables, and delivered reliably over 1–100 km. This is a hands‑on, system‑facing role that bridges simulations, suppliers, and early hardware. • Own the high‑power optical delivery path: define fiber types (MMF, LMA, PCF, HCF), core sizes, fiber counts per cable, and operating points for CW power over long distances., • Translate optical and multiphysics simulation results into practical design rules: power per fiber, safe operating areas, bend and routing limits, splicing strategy, and safety margins., • Design and iterate fiber bundle and cabling concepts for underground/undersea deployment, balancing attenuation, thermal limits, reliability, installation, and maintenance., • Specify, evaluate, and qualify lasers and fiber components from OEMs and fiber manufacturers; define technical requirements and compare architectures against performance, operational, and cost KPIs., • Prototype and test early subsystems (delivery rigs, test fibers, connectors, sample cables), define test plans, and feed measurements back into models and design decisions., • Work closely with product, research, and simulation colleagues to align the delivery architecture with near‑term use cases (defence redundancy, data centers, industrial heat) and the scaling roadmap., • Create clear documentation of architectures, assumptions, trade‑offs, and test results that can be shared with suppliers, partners, and future team members. What we are looking for in the candidate • B.E./Tech, M.E/Tech, MSc or PhD in Physics, Photonics, Optical Engineering, or a closely related field., • Hands‑on experience with high‑power fiber delivery: large‑core or specialty fibers (e.g., MMF, LMA, PCF, HCF) at ≥100 W CW, ideally into the kW range., • Solid understanding of nonlinear and damage mechanisms in fibers (e.g., SRS, SBS, thermal damage, fiber fuse) and how they scale with power, length, and core size., • Experience configuring or integrating industrial diode or fiber lasers and their delivery fibers (end caps, collimators, connectors, safety interlocks)., • Working proficiency with Python and at least one simulation environment (in‑house codes, COMSOL, Ansys, or similar) for analyzing propagation and basic thermal effects., • Comfort making design trade‑offs with incomplete data, iterating quickly, and owning decisions in a small, distributed startup team., • Experience in specialty fiber development or industrialisation (e.g., hollow‑core, PCF), including collaboration with fiber drawing facilities or process engineers., • Experience taking fiber or laser technologies from lab concept towards standardised product: defining specs, qualification tests, and working with suppliers to meet them., • Exposure to underground/undersea cable concepts, deployment, or reliability for optical or power cables., • Experience with coupled optical–thermal–mechanical models for high‑power components and systems., • Previous work with defence, energy, or data‑center applications that demand high reliability and robust safety engineering. What we offer • Remote‑first role, open to UK and non‑UK candidates. Full‑time, with the option to start part‑time and ramp up., • Opportunity to define how multi‑MW optical power is moved through fibers at scale and to shape a new class of energy‑distribution infrastructure.

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Senior Ecologist Leeds We are looking for a Senior Ecologist to join a well-established company in Leeds. The company work on a diverse range of projects from local conservation, to large-scale infrastructure developments. The company offer an excellent bonus scheme, paid professional membership fees as well as having an employee mentoring scheme and paid volunteering days. What We're Looking For; Experience within an ecological consultancy or a related field. A degree in Ecology, Environmental Science, or related discipline. A master's degree or PhD is advantageous. Proficiency in ecological survey techniques, data analysis, and report writing. Excellent communication and interpersonal skills. A strong understanding of UK wildlife legislation, planning regulations, and best practices in ecological management. Key Responsibilities; To lead and manage ecological assessments, habitat surveys, and impact studies for various projects. To conduct and oversee field surveys, including protected species surveys, habitat assessments, and ecological monitoring. Wrepare detailed ecological reports, impact assessments, and mitigation strategies. Client Liaison: Build and maintain relationships with clients, providing expert advice and guidance on ecological issues. Assisting with supporting junior ecologists with the option to mentor Ensure projects comply with relevant legislation, planning policies, and environmental standards. Interested in this Senior Ecologist vacancy? To discuss this vacancy or any other roles, please do not hesitate to contact Ashleigh Garner at Penguin Recruitment or click apply to this advert

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