software engineer

ai engineer

platform engineer

analytics engineer

lead software engineer

laboratory engineer

<div><div><div>Ref Number</div>
<div>B04-07171</div>
<div>Professional Expertise</div>
<div>Laboratory Technical and Lab Support</div>
<div>Department</div>
<div>UCL BEAMS (B04)</div>
<div>Location</div>
<div>London</div>
<div>Working Pattern</div>
<div>Full time</div>
<div>Salary</div>
<div>&pound;43,981-&pound;52,586</div>
<div>Contract Type</div>
<div>Permanent</div>
<div>Working Type</div>
<div>On site</div>
<div>Available for Secondment</div>
<div>No</div>
<div>Closing Date</div>
<div>12-Jul-2026</div>
</div><h2 class="jobSectionHeader">About us</h2>
The London Centre for Nanotechnology (LCN) is a unique interdisciplinary collaboration between University College London (UCL), Imperial College London, and King&rsquo;s College London. Its mission is to harness the power of nanotechnology to tackle global challenges across information technology, healthcare, and environmental sustainability. In bringing together cutting-edge infrastructure with leading nanotechnology research activities, the Centre aims to attain the critical mass necessary to compete with the foremost international facilities. At UCL, the LCN is sited in a purpose built eight storey building in Central London, operating as a department within the Faculty of Mathematical and Physical Sciences. Among its state-of-the-art facilities is a 255m&sup2; Class 1000 cleanroom dedicated to nanodevice fabrication.

The LCN maintains strong links with the broader nanotechnology and commercial sectors, and is engaged in major research collaborations. As the only centre of its kind situated in the heart of a metropolis, it benefits from superb access to corporate, investment, and industrial partners. The LCN also plays a leading role in nanotechnology training, with a prominent media presence aimed at fostering transparency and awareness around this rapidly evolving field.
<h2 class="jobSectionHeader">About the role</h2>
The post holder will provide advanced technical, operational, and safety support within the LCN cleanroom facility. The role is focused on chemicals and reagents used in cleanroom, some activities associated with operation, maintenance, troubleshooting, and continuous improvement of wet chemical processing systems, post processing wafer dicing and wire-bonding, and supporting cleanroom infrastructure. The post holder will:
<ul>
<li>Serve as a technical specialist for wet chemical processing and backend fabrication equipment (wafer dicing, wafer scribing, wire-bonding), carrying out diagnostics, preventative maintenance, troubleshooting, and equipment repair activities.</li>
<li>Support the safe and efficient operation of cleanroom chemicals and gas distribution infrastructure associated with laboratory systems.</li>
<li>Develop, implement, and maintain chemical handling procedures, waste management processes, and safety documentation in compliance with UCL and statutory requirements.</li>
<li>Deliver user training and technical support for cleanroom researchers, students, and external collaborators.</li>
<li>Work collaboratively with academic staff, suppliers, service engineers, contractors, and Estates teams to support research activities and facility development.</li>
</ul>
The role requires strong practical engineering and laboratory skills, independent problem-solving ability, and experience working within controlled or high-specification laboratory environments. The role would particularly suit candidates with practical experience preferably in chemistry and materials processing, or mechanical systems, laboratory engineering within semiconductor cleanroom or research environments.

<h2 class="jobSectionHeader">About you</h2>
<div>The post holder should have a degree or HND, preferably in Chemistry, Materials Science, Chemical Engineering, Mechanical Engineering, or a related technical discipline. Experience in operating, maintaining, and troubleshooting laboratory or cleanroom equipment, particularly wet processing and vacuum-based systems is essential. The role also requires a proven ability to independently diagnose complex technical faults in chemical handling and equipment operation, and to implement effective solutions. Additionally, experience working with hazardous chemicals, gases, and controlled laboratory environments is required.</div>
<div>You should have knowledge of workshop tools (e.g., lathe, mill, and drill), or the ability to design and fabricate mechanical components using CAD software, with some exposure to 3D printing. Excellent communication skills are required, including the ability to train, mentor, and support users with varying levels of experience. You must be able to work both independently and as part of a team. Strong organisational skills are essential, with the ability to manage complex workloads, prioritise effectively, meet deadlines consistently, and respond to operational pressures. A high level of accuracy is required when maintaining documentation, records, and compliance data, including data logging, process parameters, equipment logs, and incident reports.</div>
<div> 
Please see the job description for more.</div> 

<h2 class="jobSectionHeader">What we offer</h2>
As well as the exciting opportunities this role presents, we also offer some great benefits some of which are below:
<ul>
<li>41 Days holiday (27 days annual leave 8 bank holiday and 6 closure days)</li>
<li>Additional 5 days&rsquo; annual leave purchase scheme</li>
<li>Defined benefit career average revalued earnings pension scheme (CARE)</li>
<li>Cycle to work scheme and season ticket loan</li>
<li>Immigration loan &bull; Relocation scheme for certain posts</li>
<li>On-Site nursery</li>
<li>On-site gym</li>
<li>Enhanced maternity, paternity and adoption pay</li>
<li>Employee assistance programme: Staff Support Service</li>
<li>Discounted medical insurance</li>
</ul>
Visit https://www.ucl.ac.uk/work-at-ucl/reward-and-benefits to find out more.
<h2 class="jobSectionHeader">Our commitment to Equality, Diversity and Inclusion</h2>
As London&rsquo;s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world&rsquo;s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be underrepresented in UCL&rsquo;s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. Our department holds an Athena SWAN Bronze award, in recognition of our long-term commitment and 'beacon' status in advancing gender equality.

You can read more about our commitment to Equality, Diversity and Inclusion here: https://www.ucl.ac.uk/equality-diversity-inclusion/</div>

Cleanroom Research Technician

Diffractive Labs

<div>What We're Looking For
We are seeking a Lab Automation Engineer to build the software and systems infrastructure that turns our physical lab into a fully autonomous system. You will design and implement software drivers for different scientific instruments as well as the orchestration layer that connects instruments, robots and data pipelines into an continuous experimental workflow.
You will be joining a small, highly ambitious team of world-renowned engineers, AI researchers, and materials scientists. We move fast and value people who are energised by that.
This is a role for someone who is at home in both a codebase and a lab, who has felt the frustration of a poorly automated instruments and done something about it, and who is excited to build a first of its kind autonomous lab.
What You'll Do<ul><li>
Design and implement the orchestration layer that coordinates instruments, robotic handling, and data capture across our automated lab.</li><li>
Write and maintain software drivers for scientific instruments, handling vendor APIs, serial protocols, and communication standards.</li><li>
Automate experimental workflows that integrate robotics, instrument control and real-time data analysis</li><li>
Leverage open-source lab automation frameworks (MADSci or equivalent) to fit our specific instrument suite and research needs.</li><li>
Work directly with materials scientists and ML researchers to translate experimental protocols into reliable, reproducible automated pipelines.</li><li>
Maintain and improve the reliability of running automated workflows, including error handling, logging, and recovery from instrument failures.</li><li>
Evaluate and integrate new instruments and robotic systems as our lab capabilities expand.</li></ul>
Skills &amp; Qualifications<ul><li>
Proven experience building automation systems for scientific laboratories, either in industry or at a research institution.</li><li>
Strong Python skills; comfortable building production-quality software</li><li>
Direct experience writing software drivers or integrations for scientific instruments, and an understanding of the challenges involved: inconsistent vendor documentation, brittle communication protocols, hardware edge cases.</li><li>
Experience with lab orchestration frameworks such as MADSci or similar open-source or commercial systems.</li><li>
Enough hardware fluency to diagnose whether a problem is in the software, the instrument, or the integration between them.</li><li>
Experience designing automated workflows end-to-end: from sample handling through measurement, data capture, and handoff to downstream analysis.</li><li>
Comfortable working in a lab environment and collaborating closely with scientists who are not software engineers.</li></ul>
Nice to Have<ul><li>
Background in materials science, chemistry, metallurgy, or a related physical science discipline.</li><li>
Experience integrating robotic sample handling (liquid handlers, robotic arms, plate movers) into automated workflows.</li><li>
Contributions to open-source lab automation projects.</li><li>
Experience at a national laboratory (Argonne, Diamond, ISIS, or similar) or an automated biotech or material science platform company.</li></ul>
Why Join Us<ul><li>
Build the automation infrastructure for one of the most ambitious materials discovery programmes in the world.</li><li>
Work at the frontier of autonomous labs, where your software directly shapes what science gets done.</li><li>
Collaborate with world-class researchers across materials science and AI.</li></ul>
Diffractive is building the AI Material Scientist that autonomously learns from real-world experimentation to push the boundaries of scientific discovery. We're early, moving fast, and working on problems that genuinely matter. 
 
You'll join a small, high-calibre team where your work has real impact from day one. We're London-based with a flexible approach to how and where you work. We offer competitive salary, generous equity and benefits. You'll have a real stake in what you build and in the company's overall success.
How to Apply
If you're excited about this role and believe you could thrive in it, we'd encourage you to apply even if you may not align with every part of the job description.
Diffractive is an equal opportunities employer. We are committed to creating an inclusive environment for all employees and welcome applications from people of all backgrounds, experiences, and identities.
If you require any adjustments or accommodations at any point during the interview process please let us know - we will be happy to help.
Hit the apply button below to submit your application. We are looking forward to hearing from you!</div>

Lab Automation Engineer

Ultralytics

<div>
 
 About Ultralytics:
 
 
 
 At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.
 
 
 
 🌎 Location and Legalities
 
 
 
 This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.
 
 
 
 🚀 What You'll Do
 
 
 
 As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state-of-the-art computer vision technologies. Key responsibilities include:
 
 
 <ul>
 <li>
 Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini.
 </li>
 <li>
 Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience.
 </li>
 <li>
 Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with Voyage AI, rerankers, and query enrichment.
 </li>
 <li>
 Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search.
 </li>
 <li>
 Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation and user support.
 </li>
 <li>
 Collaborating with our YOLO development team to explore and build innovative multi-modal solutions.
 </li>
 <li>
 Automating deployment and testing processes using CI/CD pipelines with GitHub Actions.
 
 
 </li>
 </ul>
 Your work will directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers.
 
 
 
 🛠️ Skills And Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML).
 </li>
 <li>
 Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch.
 </li>
 <li>
 Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek.
 </li>
 <li>
 Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB.
 </li>
 <li>
 Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization.
 </li>
 <li>
 Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions.
 </li>
 <li>
 A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO11 is a significant plus.
 </li>
 <li>
 Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.
 
 
 </li>
 </ul>
 
 🌟 Cultural Fit - Intensity Required
 
 
 
 Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.
 
 
 
 💶 Compensation And Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary: Highly competitive based on experience.
 </li>
 <li>
 Startup Equity: Participate directly in our company's growth and success.
 </li>
 <li>
 Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote.
 </li>
 <li>
 Generous Time Off: 24 days vacation, your birthday off, plus local holidays.
 </li>
 <li>
 Flexible Hours: Tailor your working hours to suit your productivity.
 </li>
 <li>
 Tech: Engage with cutting-edge AI projects and contribute to leading open-source software.
 </li>
 <li>
 Gear: Brand-new Apple MacBook and Apple Display provided.
 </li>
 <li>
 Team: Become part of a supportive and passionate team environment.
 
 
 </li>
 </ul>
 
 What we offer:
 
 
 
 
 Cutting-Edge-next generation AI computer vision technology:
 
 contribute to building cutting edge computer vision AI models based on the YOLO framework.
 
 
 
 Impactful Work:
 
 Shape the future of AI-powered solutions that transform industries.
 
 
 
 Collaborative Culture:
 
 Join a talented and passionate team that values open communication and innovation.
 
 
 
 Ultralytics Handbook
 
 
 
 Comprehensive guide to our company&rsquo;s mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.
 
 
 Link: https://handbook.ultralytics.com/
 
 
 
 Ultralytics is an equal opportunity employer and are committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.
 
 
 
</div>

LLM Engineer

Ultralytics LLC

<div>About Ultralytics:
At Ultralytics, we commit to relentless innovation in the AI space and seek team members who resonate with our ambition to produce the world's best YOLO AI models. If you're obsessed with AI, eager to make an impact on the world and thrive in dynamic, high-intensity environments, we invite you to apply for a position on our team.
Location and Legalities
This full-time LLM Engineer position is based onsite in our brand-new Ultralytics office in London, UK. Applicants must have legal authorization to work in the UK, as Ultralytics does not provide visa sponsorship.
What You'll Do
As an LLM Engineer at Ultralytics, you will spearhead the development and integration of advanced language model capabilities across our ecosystem. You will work on cutting-edge projects that merge the power of Large Language Models (LLMs) with our state-of-the-art computer vision technologies. Key responsibilities include:<ul><li>
Developing and scaling robust LLM-powered applications using a variety of APIs, including OpenAI, Anthropic, and Gemini.</li><li>
Implementing and managing multi-API workflows using tools like LiteLLM to ensure flexibility and resilience.</li><li>
Building sophisticated Retrieval-Augmented Generation (RAG) systems, leveraging advanced techniques like embeddings with Voyage AI, rerankers, and query enrichment.</li><li>
Designing and maintaining efficient data pipelines and vector storage solutions using MongoDB Atlas Vector Search.</li><li>
Fine-tuning LLMs on custom datasets to enhance performance for specialized tasks related to our documentation and user support.</li><li>
Collaborating with our YOLO development team to explore and build innovative multi-modal solutions.</li><li>
Automating deployment and testing processes using CI/CD pipelines with GitHub Actions.</li></ul>
Your work will directly enhance the Ultralytics HUB platform and empower our global community of developers and researchers.
Skills and Experience<ul><li>
5+ years of experience in software engineering, with a strong focus on AI and Machine Learning (ML).</li><li>
Expert-level proficiency in Python and deep learning frameworks, particularly PyTorch.</li><li>
Proven experience building and deploying applications with LLM APIs such as OpenAI, Anthropic, Gemini, and DeepSeek.</li><li>
Hands-on experience with the full RAG pipeline, including vector embeddings, rerankers, and data indexing in databases like MongoDB.</li><li>
Practical knowledge of LLM fine-tuning, prompt engineering, and performance optimization.</li><li>
Familiarity with MLOps principles and tools, including CI/CD with GitHub Actions.</li><li>
A strong interest in computer vision and an understanding of object detection models like Ultralytics YOLO11 is a significant plus.</li><li>
Excellent problem-solving skills and the ability to perform in a fast-paced, high-intensity environment.</li></ul>
Cultural Fit - Intensity Required
Ultralytics is a high-performance environment for world-class talent obsessed with achieving extraordinary results. We operate at a relentless pace, demanding exceptional dedication and an unwavering commitment to excellence, guided by our mission, vision, and values. Our team thrives on audacious goals and absolute ownership. This is not a conventional workplace. If your priority is predictable comfort or a standard work-life balance over the relentless pursuit of progress, Ultralytics is not for you. We seek driven individuals prepared for the profound personal investment required to make a defining contribution to the future of AI.
Compensation and Benefits<ul><li>
Competitive Salary: Highly competitive based on experience.</li><li>
Startup Equity: Participate directly in our company's growth and success.</li><li>
Hybrid Flexibility: 3 days per week in our brand-new office - 2 days remote.</li><li>
Generous Time Off: 24 days vacation, your birthday off, plus local holidays.</li><li>
Flexible Hours: Tailor your working hours to suit your productivity.</li><li>
Tech: Engage with cutting-edge AI projects and contribute to leading open-source software.</li><li>
Gear: Brand-new Apple MacBook and Apple Display provided.</li><li>
Team: Become part of a supportive and passionate team environment.</li></ul>
What we offer:
Cutting-Edge-next generation AI computer vision technology: contribute to building cutting edge computer vision AI models based on the YOLO framework.
Impactful Work: Shape the future of AI-powered solutions that transform industries.
Collaborative Culture: Join a talented and passionate team that values open communication and innovation.
Ultralytics Handbook
Comprehensive guide to our company&rsquo;s mission, vision, values, and operational practices. This handbook is designed to provide key insights and resources for our (future) team members, collaborators, and community to align with Ultralytics' core principles.
Link: https://handbook.ultralytics.com/ 
Ultralytics is an equal opportunity employer and are committed to building an inclusive workplace. We believe that everyone should be able to bring their whole selves to work, and we do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.</div>

XPS Group

<div>
 
 Location:
 
 London
 
 
 
 Employment Type:
 
 Permanent, Full Time
 
 
 
 Grade:
 
 Senior Associate/ Consultant
 
 
 Hybrid
 
 
 REQ003340
 
 
 
 About XPS Group
 
 
 
 XPS Group is a prominent and growing UK consultancy and administration firm within the pensions and insurance sectors. As a FTSE 250 company with over 2000 employees, we leverage expertise alongside advanced technology to serve over 1,400 pension schemes and their sponsors. Our goal is to foster a workplace where diverse talents thrive.
 
 
 
 About The Role
 
 
 
 Our Data Analytics business continues to grow, and we are now looking for an experienced and technical MLOps Engineer to join our vibrant London office with hybrid working. This is an exciting role and would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI.
 
 
 XPS Analytics is a specialist and multi-disciplinary team consisting of actuaries, data scientist and developers. Our role in this mission is to pioneer advancements in the field of pensions and beyond, leveraging state-of-the-art technology to extract valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Model development: Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes, such as life expectancy, default risk, or investment returns. Identify appropriate machine learning algorithms and apply them to enhance predictions, automate decision-making processes, and improve client offerings.
 </li>
 <li>
 Machine Learning Operations: Responsible for designing, deploying, maintaining and refining statistical and machine learning models using Azure ML. Optimize model performance and computational efficiency. Ensure that applications run smoothly and handle large-scare data efficiently. Implement and maintain monitoring of model drifts, data-quality alerts, scheduled r-training pipelines.
 </li>
 <li>
 Data Management and Preprocessing: Collect, clean and preprocess large datasets to facilitate analysis and model training. Implement data pipelines and ETL processes to ensure data availability and quality.
 </li>
 <li>
 Software Development: Write clean, efficient and scalable code in Python. Utilize CI/CD practices for version control, testing and code review.
 </li>
 <li>
 Work closely with actuarial analysts, actuarial modelling team (AMT) and other colleagues in XPS to integrate data science findings into practical advice and strategies.
 </li>
 <li>
 Stay abreast of new trends and technologies in Data Science technologies and pensions to identify opportunities for innovation.
 </li>
 <li>
 Provide training and support to other team members on using machine learning tools and understanding analytical techniques.
 </li>
 <li>
 Interpret and explain machine learning concepts and findings to other members of the analytics team and non-technical stakeholders within XPS.
 
 
 </li>
 </ul>
 
 Essential
 
 
 
 
 Your Profile:
 
 
 
 <ul>
 <li>
 Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments.
 </li>
 <li>
 Experience in data wrangling using Python, SQL and ADF.
 </li>
 <li>
 Experience in CI/CD and DevOps/MLOps and version control.
 </li>
 <li>
 Familiarity with data visualization and reporting tools, ideally PowerBI.
 </li>
 <li>
 Good written and verbal communication and interpersonal skills. Ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience in the pensions or similar regulated financial services industry is highly desirable.
 </li>
 <li>
 Experience in working within a multidisciplinary team would be beneficial
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 Enjoy a competitive salary, annual discretionary bonus, and 25 days&rsquo; holiday with buy/sell flexibility. Benefits include pension matching, healthcare plans, life assurance, and retailer discounts. We support our team with a flexible benefits scheme, employee assistance, and digital GP service. Participating in volunteering events is encouraged with paid volunteer days available. Referral bonuses are offered for introducing suitable candidates to XPS.
 
 
 
 How To Apply
 
 
 
 Interested candidates should submit applications via Apply Now option or contact recruitment@xpsplc.com for more information. Join XPS Group and contribute to a dynamic and inclusive workplace.
 
 
 
 Equal Opportunities Statement
 
 
 
 XPS Group is committed to diversity and equal opportunities. We welcome applications from all candidates, irrespective of sex, race, disability, sexual orientation, religion, or belief. As a Disability Confident employer, we ensure accessible and supportive work settings for all employees.
 
 
 
 Eligibility
 
 
 
 Any employment offer made will be conditional upon you satisfying DBS Disclosure checks, Employment or educational references, Satisfactory credit checks and eligibility to work in the UK before an offer can be made. XPS Group is not able to provide sponsorship to employees.
 
 
 
 Who Are We
 
 
 
 To find out more please visit: www.xpsgroup.com
</div>

MLOps Engineer

Percepta

<div>
 
 Who We Are
 
 
 
 Percepta&rsquo;s mission is to
 
 transform critical institutions with applied AI.
 
 We care that industries that power the world (e.g. healthcare, manufacturing, energy) benefit from frontier technology.
 
 
 To make that happen, we embed with industry-leading customers to drive AI transformation. We bring together:
 
 
 <ul>
 <li>
 Forward-deployed expertise in engineering, product, and research
 </li>
 <li>
 Mosaic, our in-house toolkit for rapidly deploying agentic workflows
 </li>
 <li>
 Strategic partnerships with Anthropic, McKinsey, AWS, companies within the General Catalyst portfolio, and more
 
 
 </li>
 </ul>
 Our team is a quickly growing group of Applied AI Engineers, Embedded Product Managers and Researchers motivated by diffusing the promise of AI into improvements we can feel in our day to day lives.
 
 
 Percepta is a direct partnership with General Catalyst, a global transformation and investment company.
 
 
 
 About The Role
 
 
 
 We&rsquo;re hiring
 
 Applied AI Engineers
 
 who will work directly with customer executives, operators, and technical teams to define and deliver high-impact AI systems. We are excited to build out our European presence, and you will be on the front lines of helping to define our strategy and success in the region. We don't build prototypes or laboratory projects- you&rsquo;ll design, build, and ship production-grade AI agents and workflows that drive millions in business value for customers.
 
 
 
 Our Applied AI Engineers
 
 
 
 <ul>
 <li>
 Shape the AI vision: Collaborate with customer stakeholders to define their long-term AI strategy and transformation roadmap.
 </li>
 <li>
 Identify high-leverage use cases: Work backwards from the long-term vision to surface and prioritize specific AI applications that connect our ambition to measurable business value.
 </li>
 <li>
 Ship real products: Rapidly build and deploy AI solutions that work in the wild, with real users and real data.
 </li>
 <li>
 Advance our core product: Encode the lessons from our customer engagements in our Mosaic product, consistently contributing new features, patterns, and abstractions.
 
 
 </li>
 </ul>
 
 What We&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 AI-nativeness: You're excited about the potential for AI to transform businesses and want to play a hands-on role in bringing frontier technology into critical institutions.
 </li>
 <li>
 Being generative and collaborative: You love constantly jamming on new &ldquo;what if&rdquo; ideas with teammates and partners.
 </li>
 <li>
 Extreme ownership: You&rsquo;re willing to jump in and love being the one on the hook. You aren&rsquo;t going to wait to be pointed at a task&mdash;you&rsquo;re going to identify what you think we should do next, and then do it.
 </li>
 <li>
 Execution excellence and speed: You can build stuff in messy environments and know how to get code written and shipped quickly. You can hold the balance of speed and quality and know when to push the pace vs. when to slow down.
 </li>
 <li>
 Customer-obsession and respect: You&rsquo;re motivated by understanding customer pain points and iterating directly with end users to deliver wins quickly.
 
 
 </li>
 </ul>
 
 Bonus if you have
 
 
 
 <ul>
 <li>
 Hands-on experience with LLM tooling (LangGraph, Mastra, Agents SDK, etc).
 </li>
 <li>
 Built and deployed production LLM-powered systems (tool use, RAG pipelines, multi-step agents, human-in-the-loop, etc).
 </li>
 <li>
 Strong technical foundations in Python/TypeScript, cloud deployment (AWS/GCP/Azure) and DevOps tooling.
 </li>
 <li>
 Prior startup or founding engineer experience, balancing craft, ownership, and speed.
 
 
 </li>
 </ul>
 We&rsquo;re working against an incredibly ambitious mission. It won&rsquo;t be easy, but it will likely be the most fulfilling work of your career. If this excites you, let's chat, even if you don't meet all of the qualifications above.
 
 
 
 Our Values
 
 
 
 
 Dream bigger:
 
 We have the unique privilege of taking on the most ambitious problems and we should chase them with optimism, responsibility, and genuine belief that we can make it happen. We have to embrace the hard things when no one else will.
 
 
 
 Heart in the game:
 
 What we're doing matters and we have to give a shit. Internally, that means fixing badness when you find it. Externally, it means honoring the trust our customers place in us with their most important problems. This isn&rsquo;t a 9-5, nor is it a job we&rsquo;re ever going to monitor your hours. We promise to put work in front of you that matters and in return, we ask you to promise to care.
 
 
 
 Win for the customer:
 
 Everyone is an engineer and the job of an engineer is to deliver outcomes, not outputs. Everything we do&mdash;the products we build, the partnerships we launch, the strategy we set&mdash;exists to make our customers successful. Delivery is the strategy.
 
 
 
 Make the call:
 
 Organizations are only as strong as the pace at which they make decisions. Everyone at Percepta should feel empowered to commit and shape the ambiguity in front of them. But "make the call" cuts both ways: make the decision
 
 and
 
 make the phone call. High-agency decision-making only works with high-bandwidth communication and we commit to never operate in silos.
 
 
 
 Intensity with kindness:
 
 We believe in excellence in execution, candor in feedback, ruthlessness in prioritization, and survivalist urgency. We also believe you don't need to be an asshole to deliver on any of this. The trust built through shared kindness and vulnerability is what makes the intensity sustainable.
</div>

Applied AI Engineer - Europe

Ventula Consulting

<div>
 
 
 AI / ML Engineer - AI Startup - London - &pound;80k - &pound;120k
 
 
 
 
 
 
 A newly established Voice AI startup with multi-million funding, is looking to hire an AI / ML Engineer to focus on their ML pipelines which process very high-volume events at scale.
 
 
 
 
 
 Our client is looking for an individual with significant experience as either an AI Engineer or Machine Learning Engineer with clear evidence of shipping LLM powered ML products
 
 
 
 
 
 To be suitable for this role you will require the below:
 
 
 
 
 
 
 Key Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Machine Learning, or a related field
 </li>
 <li>
 Excellent experience as a, ML, or AI Engineer, with evidence of shipping production systems
 </li>
 <li>
 Strong Python skills and experience with FastAPI
 </li>
 <li>
 Experience working modern MLOps tools, ideally Kubeflow
 </li>
 <li>
 Strong experience working closely with LLMs (including fine-tuning, RAG, prompt engineering)
 </li>
 <li>
 Strong problem-solving skills and ability to communicate technical trade-offs clearly
 </li>
 <li>
 Collaborative mindset with experience working across technical and non-technical teams
 </li>
 </ul>
 
 
 
 
 
 
 
 This position is a permanent role, based in London, with 3-4 days a week in the company's office
 
 
 
 
 
 The role offers a salary between &pound;80,000 - &pound;120,000
 
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AI / ML Engineer

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