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OUR RECRUITMENT SPECIALISMS

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We support candidates and customers across the full spectrum of AI development. Together, we can drive sustainable growth in tech-enabled sectors. We work with companies and AI talent across Europe, the USA, the UK and Ireland.

OUR HIRING SOLUTIONS GIVE YOU ACCESS TO TALENT YOU WON'T FIND ANYWHERE ELSE.

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Embedded Hiring

Built to scale with your business. Our adaptable, cost-efficient embedded service is your solution to high-volume hiring challenges, expansion, and technical projects that require hard-to-find skill sets.

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OUR CUSTOMERS SAY GOOD THINGS ABOUT US

Feedback score: 10/10. The quality of the candidates presented, the quality of the communication both with us and the candidate, the responsiveness and the great follow-up overall!

Huawei Switzerland, Client

Feedback Score: 10/10. As a candidate I had a great experience with Anthony and I found a job I would never had without his help. He not only has fantastic inter-personal skills, but in a floated market of recruiters, he can assess your skills very well and guide them efficiently to the job position in hand. He is very helpful and thoughtful about the recruitment process. He assists you all the way and makes sure you have all you need and you are well informed for a successful process.

Carlos, Candidate

Feedback Score: 10/10. I chatted (and still in contact) with Anthony Kelly. A very nice experience, he was helpful all the time, and tried to find solutions.

Mihai, Candidate

Feedback Score: 10/10. Nathan Wills is very responsive, quickly providing relevant candidates.

Modulai, Client

Feedback Score: 10/10. It was a pleasant surprise when Paddy Hobson contacted me about a role that is very relevant to my past work. He is great at communicating and taking the initiative to advance the application process. The same goes for Anthony, who contacted me when Paddy was on leave, ensuring I was not left without any updates. I also could face the interviews well, thanks to the advice on interview preparation. Overall, I had a very positive experience with DeepRec.ai regarding their communication, understanding what I and the potential employers are looking for and helping me with the most stressful aspects of the recruitment process.

Darshana, Candidate

Feedback Score: 10/10. Harry works very professionally and try's his best to find the best match between candidates and their needs.

Nelson, Candidate

Feedback Score: 10/10. I gave this score for the sourcing of the candidates. Much better than competitors!

Kinetix, Client

Feedback Score: 10/10. I would recommend Deeprec.ai to my friends who are currently job hunting. My first encounter with Deeprec.ai was when Harry reached out to me on LinkedIn and recommended some suitable positions. Throughout the interview process, Harry was incredibly supportive, providing a lot of assistance with interview preparation and promptly requesting feedback from the employer. Although I didn’t receive an offer in the end, I’m very grateful for all the efforts that Deeprec.ai and Harry made to support me during the interview process.

Zi, Candidate

Feedback Score: 10/10. Hayley Killengrey is amazing to work with and super easy to communicate with. She identified positions that matched my skillset very well!

Tiffany, Candidate

Feedback Score: 10/10. Harry has been very responsive and absolute pleasure to work with.

Yewon, Candidate

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LATEST JOBS

United States

Foundation Model AI Architect

Permanent$170000 - $250000 per annum

Foundation Model AI Architect (Molecular & Multimodal Systems)Our client is exploring a new generation of AI architectures grounded in principles from computational neuroscience, biological computation, and multimodal modelling. Their aim is to build large foundation models capable of reasoning over molecular, structural, and scientific datasets with explainability and precision.They are hiring a Foundation Model AI Architect to lead the design of advanced neural systems that combine transformer architectures, causal reasoning models, multimodal representations, and agentic behaviours. You will design models that integrate chemical data, molecular structures, spectroscopic signatures, and simulation derived information into unified AI systems for materials discovery.A key component of this role involves scaling models on high performance GPU clusters, optimising training and inference pipelines, and working with advanced frameworks such as JAX. You will also build automated labelling systems, behavioural encoding workflows, and interpretable ML pipelines that support transparency and scientific trustworthiness.This position suits someone who can translate ideas from systems neuroscience and complex biological modelling into practical, engineered AI architectures for real scientific problems.Ideal Profile:PhD in computational neuroscience or computational biology, deep expertise in neural architecture design, strong GPU/HPC programming skills, and experience developing large scale or multimodal foundation models.

Sam Warwick

Posted 15 minutes ago

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United States

Product Leader (Scientific Computing & AI Platform)

Permanent$170000 - $250000 per annum

Product Leader (Scientific Computing & AI Platform)Our client is building a sophisticated scientific platform that integrates automated quantum simulation, high throughput data workflows, and advanced machine learning for molecular and materials discovery. They are seeking a Product Leader to shape how these systems evolve and to guide the infrastructure that enables scientists and ML researchers to work seamlessly.You will define the long-term product vision, design roadmap milestones, and oversee how simulation tools, data pipelines, and AI models come together into a cohesive ecosystem. This includes responsibility for architecting automated DFT pipelines, real time inference systems, continuous integration frameworks, data streaming layers, and evaluation tooling for large scientific models.You will work across teams of computational chemists, simulation scientists, ML researchers, and software engineers to ensure the platform supports fast experimentation and high reliability. You will help shape neural architectures trained on molecular data, from GNNs to transformer-based models, and guide the integration of physics-based domain expertise into core AI workflows.This role requires strategic thinking, technical fluency, and comfort balancing scientific constraints with product execution. You will play a central role in defining the infrastructure that accelerates materials research across the organisation.Ideal Profile: PhD in a computational field, strong experience leading ML or scientific computing product systems, familiarity with automated quantum simulations, and deep understanding of large-scale AI and data tooling.

Sam Warwick

Posted 18 minutes ago

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United States

Cell Product Design Engineer

Permanent$170000 - $250000 per annum

Cell Product Design EngineerOur client is developing high performance Li ion pouch cells for electric mobility, micromobility, and grid scale energy systems. As part of their continued expansion, they are looking for a Cell Product Design Engineer who can take full ownership of design, validation, and New Product Introduction (NPI) for next generation pouch cells.In this role you will lead the structural, electrochemical, and mechanical design of NCM based pouch cells. You will drive the entire lifecycle from concept design and form factor definition, through prototyping, validation, safety testing, and eventual mass production readiness. You will work across interfacial design, separator and electrolyte considerations, formation strategies, and internal architecture to meet performance, cost, and durability targets.You will collaborate closely with cross functional R&D teams, manufacturing engineers, test engineers, and program leads to ensure proper DFMEA, DVP&R, and quality processes are embedded throughout the design cycle. Your work will support products ranging from EV platforms to e bikes and stationary storage systems, requiring strong judgement, technical rigour, and the ability to manage complex tradeoffs.Ideal Profile: Degree in Materials Science or Chemical Engineering, hands on experience in pouch cell development and NPI, strong command of validation and quality methodologies, and the ability to bridge R&D and manufacturing environments.

Sam Warwick

Posted 21 minutes ago

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United States

Battery Product Development & Client Engagement Leader

Permanent$170000 - $250000 per annum

Battery Product Development & Client Engagement LeaderOur client is a leader in advanced battery innovation, combining materials science, electrochemistry, and AI guided discovery to support global OEMs across mobility, energy storage, and electrification. As they scale international partnerships, they are seeking a technical leader to guide customer facing product development.This role blends technical ownership with client engagement. You will lead strategic programs with major OEM partners, define requirements for next generation battery technologies, and translate complex R&D findings into products that are manufacturable, scalable, and validated for demanding applications. You will guide the product roadmap, shape technical milestones, and coordinate tightly with R&D, materials engineering, testing, and manufacturing teams.Your work will span concept development, prototype definition, validation planning, DOE execution, safety analysis, failure mode assessment, and oversight of the lab to prototype to customer qualification pipeline. This is an opportunity to influence real world deployment of advanced battery systems and play a central role in aligning future technology with commercial needs.Ideal Profile:PhD in Chemical Engineering or Materials Science, strong background in electrochemistry and battery engineering, leadership experience with OEM programs, and expertise in process optimisation, failure analysis, and product scaling.

Sam Warwick

Posted 40 minutes ago

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United States

AI Product Engineering Scientist

Permanent$170000 - $250000 per annum

AI Product Engineering Scientist(Scientific Computing Platform Architect & AI Scientist) Our client is a rapidly advancing frontier company building a unified platform that merges high performance simulation, molecular modelling, and AI driven materials discovery. Their work sits at the crossroads of computational chemistry, physics-based simulation, and software engineering, supporting the discovery of next generation battery materials with measurable real-world impact. They are hiring a senior AI Product Engineering Scientist to lead the design and development of their scientific computing infrastructure. This position is ideal for someone who thrives across both algorithmic science and engineered systems. You will architect end to end platforms that automate MD and phase field simulations, integrate ML force fields, and unify AI models with large scale HPC environments. You will be responsible for building scalable APIs, developing simulation toolchains, enabling cloud and cluster integration, and ensuring scientists and engineers have a robust and performant environment for rapid iteration. The work is highly cross functional, partnering with simulation teams, ML researchers, and software engineers to turn research concepts into production ready tools that support rapid materials exploration. Ideal Profile:PhD in a quantitative discipline, deep experience in MD and physics-based simulation, strong HPC fluency (C and Python), and proven experience architecting scientific or ML driven platforms.

Sam Warwick

Posted 44 minutes ago

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Berlin, Germany

Research Engineer - Training Optimization & Infrastructure

Permanent£150000 per annum

Research Engineer – Training Optimisation and Infrastructure Location: Berlin - Remote within Europe (±2 hours CET) Level: Mid to Staff Package: Competitive salary plus equity The Opportunity A Series A generative AI company is hiring a Research Engineer to drive optimisation across training strategy and ML infrastructure. The business builds state-of-the-art audio and music generation models and is backed by a leading generative AI fund. The team includes researchers and engineers from Google Brain, Meta FAIR, Amazon, ETH Zürich, and Max Planck. Role Summary You will focus on optimising end-to-end training pipelines for large generative models. This includes GPU-level performance tuning, distributed systems work, and driving efficiency across data, storage, orchestration, and experimentation systems. Key ResponsibilitiesDevelop and refine training strategies including parallelism approaches and precision choices for varied model scales and compute profilesProfile, debug, and optimise single and multi-GPU workloads using tools such as NsightImprove training pipelines covering data storage, data loading, distributed training, checkpointing, and loggingBuild scalable systems for experiment tracking, model and data versioning, and experiment insightsDesign, deploy, and maintain large-scale training clusters using SLURM Ideal ExperienceStrong hands-on experience optimising training and inference workloadsDeep understanding of GPU memory hierarchy and hardware performance limitsExperience tuning both memory-bound and compute-bound operationsKnowledge of efficient attention algorithms and their performance implications at different scales Nice-to-HaveExperience writing custom GPU kernels and integrating them into PyTorchFamiliarity with diffusion or autoregressive modelsUnderstanding of high-performance storage solutions such as VASTExperience running SLURM clusters at scale Why ApplyWork on frontier audio and music generation modelsInfluence training strategy and infrastructure at scaleJoin a high-calibre research and engineering team

Anthony Kelly

Posted about 7 hours ago

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Remote work, United States

AI Evaluation Engineer

Permanent$180000 per annum

AI Evaluation Engineer$180,000 Remote (US-based)Are you passionate about shaping how AI is deployed safely, reliably, and at scale? This is a rare opportunity to join a mission-driven tech company as their first AI Evaluation Engineer, a foundational role where you’ll design, build, and own the evaluation systems that safeguard every AI-powered feature before it reaches the real world.This organization builds AI-enabled products that directly helps governments, nonprofits, and agencies deliver financial support to people who need it most. As AI capabilities race forward, ensuring these systems are safe, accurate, and resilient is critical. That’s where you come in.You won’t just be testing models, you’ll be creating the frameworks, pipelines, and guardrails that make advanced LLM features safe to ship. You’ll collaborate with engineers, PMs, and AI safety experts to stress test boundaries, uncover weaknesses, and design scalable evaluation systems that protect end users while enabling rapid innovation. What You’ll DoOwn the evaluation stack – design frameworks that define “good,” “risky,” and “catastrophic” outputs.Automate at scale – build data pipelines, LLM judges, and integrate with CI to block unsafe releases.Stress testing – red team AI systems with challenge prompts to expose brittleness, bias, or jailbreaks.Track and monitor – establish model/prompt versioning, build observability, and create incident response playbooks.Empower others – deliver tooling, APIs, and dashboards that put eval into every engineer’s workflow. Requirements:Strong software engineering background (TypeScript a plus)Deep experience with OpenAI API or similar LLM ecosystemsPractical knowledge of prompting, function calling, and eval techniques (e.g. LLM grading, moderation APIs)Familiarity with statistical analysis and validating data quality/performanceBonus: experience with observability, monitoring, or data science tooling

Benjamin Reavill

Posted 8 days ago

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Germany

Software Team Lead

Permanent

Software team lead required to join a growing Quantum Technology company and drive the vision and roadmap of a quantum sensing software platform, lead a cross-functional engineering team, and deliver high-quality, scalable solutions. The role involves translating customer needs into clear product requirements, coordinating with other product stakeholders, and ensuring consistent, on-time delivery in a fast-paced environment. Responsibilities Own the product vision and roadmap for a quantum sensing software platform, aligning business goals with technical feasibility.Lead and support a team of backend and frontend engineers, fostering collaboration and high performance.Work closely with a Software Architect to deliver scalable, high-quality solutions at speed.Operate within a tech stack including C++, Python, Qt for UI, and GitHub Actions for CI/CD.Coordinate with other Product Owners to manage dependencies and maintain cross-team alignment.Translate customer and stakeholder needs into clear requirements and a well-prioritized backlog.Monitor delivery, manage risks, and ensure consistent value delivery.Communicate priorities and results across engineering, stakeholders, and customers. Requirements 5+ years in software product development, including 2+ years in a leadership or product ownership role.Experience leading cross-functional software teams, ideally in a startup or scale-up.Ability to convert business goals into technical priorities and drive end-to-end delivery.Strong skills in agile practices, backlog management, and stakeholder communication.Collaborative mindset with the ability to align engineers, architects, and leadership.Proactive, hands-on approach suited to fast-paced environments.Bonus: experience with scientific software, hardware-in-the-loop systems, or semiconductor tools. BenefitsCompetitive salary with equity.30 days of vacation plus public holidays.Wellpass membership.Annual learning budget.Regular team events and off sites.

Anthony Kelly

Posted 8 days ago

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