Senior AI Engineer

REACH INDUSTRIES
Liverpool
6 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Data Scientist - (Senior AI/ML Engineer) (Manchester Area)

Senior Machine Learning Engineer (London Area)

Senior Machine Learning Developer

Data Science and AI Delivery Lead for Commercial Domain

Senior Big Data Engineer - AI Forecasting

At Reach Industries, we believe that scientists are solving some of the world's most pressing challenges, from combating climate change to developing vaccines and new treatments for diseases yet their tools are still poor. Our AI powered software platform, Lumi, automates operational data capture, insights and processes in labs, augmenting scientists so they can focus on the more creative aspects of their work. Lumi is versatile and is being applied across a wide range of life science industries, including in biotech and pharma.


We are a startup where the early team have a strong background in various frontier technologies and a deep love for making science better. We've already shipped a first version of the Lumi platform and we've received excellent feedback from early customers. We have very ambitious plans for Lumi ahead, so now we're looking for a Senior AI Engineer to become a vital part of our core team.


Role brief:


As a Senior AI Engineer, you'll be crucial in refining Lumi, our groundbreaking Software as a Service (SaaS) platform. Working in close coordination with our seasoned team, you'll fortify the platform's infrastructure, enhance core functionalities, and significantly contribute to our pioneering work in video streaming technologies. This opportunity marries technical challenges with creative problem-solving, directly impacting the evolution of industry-changing AI systems within the scientific community. As part of our team, you'll shape a tool that empowers scientists globally, opening new horizons for efficiency and innovation in scientific research.


Your Impact:


  • As a Senior AI Engineer at Reach Industries, you will be responsible for developing and implementing state-of-the-art AI models for visual data analysis and inference
  • Working collaboratively with cross-functional teams, your focus will be on understanding business requirements and designing optimal AI solutions
  • Develop and deploy AI models for visual data analysis and inference using Python and C++, OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy
  • Collaborate with data scientists and domain experts to understand project requirements and design optimised AI solutions
  • Preprocess and analyse visual data using OpenCV, scikit-learn, and scipy to extract meaningful insights
  • Train and fine-tune AI models using TensorFlow/Keras, PyTorch, PaddlePaddle, and other relevant frameworks to achieve high accuracy
  • Optimise AI models using OpenVINO for efficient inference on edge devices and cloud platforms
  • Implement data pipelines and workflows to automate data processing and model training processes
  • Collaborate with cross-functional teams to integrate AI models into existing systems and applications
  • Utilise CVAT or similar tools for visual data annotation and labeling
  • Stay updated with the latest advancements in AI, AI frameworks, models, and proactively recommend innovative solutions
  • Mentor and provide guidance to junior AI engineers, fostering a collaborative work environment


Your experience:


  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related fields
  • At least 4 years of commercial experience as an AI Engineer or similar roles
  • Strong proficiency in Python/C++ for AI model development and inference
  • Experience with OpenVINO, OpenCV, AWS, CVAT, scikit-learn, and scipy for visual AI applications
  • Proficiency in TensorFlow/Keras, PyTorch, and PaddlePaddle for model training and optimization
  • Familiarity with AI model
  • Strong analytical and problem-solving skills with the ability to handle large-scale data
  • Experience working in Agile/Scrum development environments
  • Excellent communication skills, both written and verbal
  • Ability to work effectively in a remote and collaborative team environment


Benefits:


  • Competitive salary depending on applicant experience and skill level.
  • Stock Options We want our team to be a part of our success and offer all permanent team members stock options
  • Holiday 27 days + Bank Holidays + Birthday off + Company closure between Christmas and New Year
  • Pension Contribution 8% from us and 1% from our employees
  • Flexible working with an 8am-10am start and 4-6pm finish
  • Enhanced Maternity Leave Available to employees with 6+ months tenure, Reach Industries pays 100% of your salary for the first 26 weeks of your maternity leave. The next 13 weeks is paid at 50% of your base salary
  • Growth & Development Allocated annual budget for conferences, training courses and other materials
  • Hybrid working, with time in our Bristol HQ when required


Celebrating Diversity


We encourage, support and celebrate diversity in the workplace and in all aspects of life. We are proud to be an equal opportunity employer who strives to ensure a balanced and measured approach to all aspects of employment.


We want this to be the best place you've ever worked; a fun environment where you will positively influence the culture and have the freedom and confidence to do your best work with the respect and trust of your colleagues.


Contact


If you are interested please contact for more information


Polite Recruiter Note


We currently do not wish to work with any external recruiters or agencies, please do not contact us at this stage as it will jeopardise any opportunity of working together in the future.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Rural-Remote Machine Learning Jobs: Finding Balance Beyond the Big Cities

Over the past decade, machine learning (ML) has transformed from a niche research domain into a pervasive technology underpinning everything from recommendation systems and voice assistants to financial forecasting and autonomous vehicles. Historically, the UK’s major tech hubs—particularly London—have been magnets for top ML talent and corporate headquarters. However, remote work has become mainstream, and many ML professionals are realising they can excel in their field while living far beyond the city limits. At MachineLearningJobs.co.uk, we’ve observed a growing interest in positions that allow for a rural lifestyle or a coastal environment, often reflected in search terms like “ML remote countryside” or “tech jobs by the sea.” This surge is no coincidence. Flexible work policies, better rural broadband, and the nature of machine learning tasks—much of which can be done through cloud platforms—are bringing new opportunities to those who wish to swap urban hustle for fresh air and scenic views. Whether you’re a data scientist, ML engineer, researcher, or product manager, a rural or seaside move could reinvigorate your work-life balance. In this article, we’ll unpack why rural-remote ML jobs are on the rise, how you can navigate the challenges of leaving the city, and what you need to do to thrive in a machine learning career beyond the M25. If you’ve dreamt of looking up from your laptop to rolling fields or ocean waves, keep reading—your rural ML role might be closer than you think.

Quantum-Enhanced Machine Learning—Propelling AI into the Next Frontier

Machine learning (ML) has revolutionised how we interpret data, build predictive models, and create intelligent applications. From recommendation engines and self-driving cars to advanced genomics and natural language processing, ML solutions are integral to nearly every corner of modern life. However, as data complexity and model size continue to skyrocket, the computational demands placed on ML systems grow in tandem—often pushing even high-performance classical computers to their limits. In recent years, quantum computing has emerged as a tantalising solution to these challenges. Unlike traditional digital systems, quantum computers exploit quantum mechanics—superposition and entanglement—to process information in ways that defy conventional logic. As these machines mature, they promise exponential speed-ups for certain tasks, potentially reshaping how we approach AI and data-intensive challenges. What does this mean for machine learning? Enter quantum-enhanced ML, a new frontier where quantum processors and classical ML frameworks unite to accelerate model training, tackle high-dimensional data, and solve complex optimisation tasks more efficiently. In this article, we will: Unpack the current state of machine learning, highlighting key bottlenecks. Provide a concise overview of quantum computing—why it’s radical and how it differs from classical technology. Examine potential breakthroughs in quantum-enhanced ML, including real-world use cases and technical approaches. Explore the roles and skill sets that will define this quantum-AI era, with guidance on how to prepare. Discuss the roadblocks (like hardware maturity and ethical concerns) and how they might be addressed in the years to come. If you’re a machine learning engineer, data scientist, or simply an AI enthusiast fascinated by the next wave of computational innovation, read on—quantum computing could become an integral part of your future toolkit, opening up job opportunities and reimagining what ML can achieve.

Machine Learning Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Machine learning (ML) has become the beating heart of modern tech innovation, powering breakthroughs in healthcare, finance, cybersecurity, robotics, and more. Across the United Kingdom, this surge in ML-driven solutions is fueling the success of countless start-ups—and spurring demand for talented machine learning engineers, data scientists, and related professionals. If you’re eager to join a high-growth ML company or simply want to keep tabs on the latest trends, this Q3 2025 Investment Tracker will guide you through the newly funded UK start-ups pushing the boundaries of ML. In this article, we’ll highlight key developments from Q3 2025, delve into the most promising newly funded ventures, and shed light on the machine learning roles they’re urgently seeking to fill. Plus, we’ll show you how to connect with these employers via MachineLearningJobs.co.uk, a dedicated platform for ML job seekers. Let’s dive in!