learning engineer

Haystack

<div>
 We are working with a pioneering technology firm that is at the forefront of developing cutting-edge AI solutions for real-world applications across various industries. This company is renowned for its innovative approach to machine learning and its commitment to pushing the boundaries of what's possible.
 
 
 The Role
 
 
 <ul>
 <li>
 Develop, train, and optimise advanced computer vision and machine learning systems
 </li>
 <li>
 Deploy machine learning solutions in constrained edge environments
 </li>
 <li>
 Work with a team of experts on innovative AI projects
 </li>
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 Contribute to the full lifecycle of machine learning model development
 
 
 </li>
 </ul>
 What You'll Need
 
 
 <ul>
 <li>
 Proven experience as a Machine Learning Engineer
 </li>
 <li>
 Expertise in computer vision and machine learning model development
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 Familiarity with deploying models in edge environments
 </li>
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 Strong problem-solving skills and an analytical mindset
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 Excellent communication and collaboration abilities
 
 
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 </ul>
 What's On Offer
 
 
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 Competitive salary based on experience
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 Opportunity to work on groundbreaking AI technology
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 Diverse and inclusive work environment
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 Professional growth and development opportunities
 
 
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 </ul>
 Apply via Haystack today!
 
 
</div>

Machine Learning Engineer

Hyper Recruitment Solutions

<div>
 
 Role Overview
 
 
 
 We are currently looking for a Machine Learning Engineer to join a pioneering research organisation dedicated to advancing drug discovery through innovative approaches to disordered proteins. This is an exciting opportunity for a candidate with a strong industrial background and a passion for applying machine learning to complex biological problems. Based at their modern facility, you will play a key role in driving forward cutting-edge research in a dynamic, open-source environment.
 
 
 In this position, you will be responsible for developing and deploying machine learning models specifically tailored to tackle the challenges presented by highly dynamic and disordered proteins, with a particular focus on NMR data. You will work independently within a small, autonomous team, influencing research directions and interpreting self-generated data to uncover new insights in this emerging scientific frontier.
 
 
 
 Key Duties And Responsibilities
 
 
 
 Your duties as the Machine Learning Engineer will be varied, however the key duties and responsibilities are as follows:
 
 
 <ul>
 <li>
 Develop and implement machine learning models to analyse complex biological data, particularly focusing on disordered proteins.
 </li>
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 Collaborate with scientific teams to interpret data, draw insights, and refine experimental approaches based on model findings.
 </li>
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 Engage directly with real biological problems, balancing modelling expertise with practical, applied research.
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 Use your technical knowledge to drive projects independently within a small, open-source environment, ensuring results are meaningful and impactful.
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 As the Machine Learning Engineer, you will be pivotal in translating scientific challenges into effective computational solutions.
 
 
 </li>
 </ul>
 
 Role Requirements
 
 
 
 To be successful in your application to this exciting role as the Machine Learning Engineer we are looking to identify the following on your profile and past history:
 
 
 <ul>
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 A Degree or higher level in a relevant field (e.g., Computer Science, Data Science, Bioinformatics) with proven applied experience.
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 Demonstrated industrial experience in developing machine learning solutions within biological or biochemical research settings.
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 Strong understanding of disordered proteins, protein dynamics, and limitations of static techniques like NMR.
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 Proven ability to work independently, drive projects forward, and influence research directions within small, autonomous teams.
 
 
 </li>
 </ul>
 
 WHAT&rsquo;S IN IT FOR YOU?
 
 
 
 This is a rare opportunity to contribute to groundbreaking research in drug discovery at a forward-thinking, non-profit organisation. You will benefit from a collaborative, open-source environment with significant influence over scientific direction, paired with a competitive salary package and the potential for sponsorship if required. Working four days on-site offers excellent work-life balance, within a state-of-the-art facility supported by recent government funding.
 
 
 Key Words:
 
 Machine Learning
 
 /
 
 Bioinformatics
 
 /
 
 Disordered Proteins
 
 /
 
 NMR
 
 /
 
 Applied Research
 
 /
 
 Autonomy
 
 /
 
 Biological Data Analysis
 
 /
 
 Open Source
 
 /
 
 Innovation
 
 /
 
 Drug Discovery
 
 
 
 "Hyper Recruitment Solutions Ltd (HRS) is an Equal Opportunities employer. We welcome applications from anyone who meets the role requirements. HRS exclusively supports the STEM sectors, combining recruitment expertise with scientific knowledge to help you advance your career".
</div>

IMC Trading

<div>
 As a Machine Learning Engineer, you will play a pivotal role in building systems that drive the training and deployment of large-scale ML models across our global operations. You'll collaborate with leading researchers, hardware experts, and software engineers to build robust solutions that maximize the potential of GPU acceleration, distributed computing, and the latest open-source tools. Your work will influence our trading strategies by accelerating experimentation cycles that foster continuous innovation and refinement.
 
 
 This is a unique opportunity to solve problems at the intersection of advanced machine learning and trading, where your contributions will shape the future of IMC&rsquo;s technology and trading capabilities.
 
 
 
 Your Core Responsibilities
 
 
 
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 The opportunity to be in a brand new position in a growing team
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 Develop large-scale distributed training pipelines to manage datasets and complex models
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 Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
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 Develop libraries to improve the performance of machine learning frameworks
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 Maximize performance in training and inference using GPU hardware and acceleration libraries
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 Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
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 Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
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 Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
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 Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
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 Dig into the internals of open-source ML tools to extend their capabilities and improve performance
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
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 5+ years of experience in machine learning with a focus on training or inference systems
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 Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
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 Strong engineering skills, including Python, CUDA, or C++
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 Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
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 Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
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 Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
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 Exposure to cloud platforms and orchestration tools
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 A track record of contributing to open-source projects in machine learning, data science, or distributed systems is a plus
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 IMC is a global trading firm powered by a cutting-edge research environment and a world-class technology backbone. Since 1989, we&rsquo;ve been a stabilizing force in financial markets, providing essential liquidity upon which market participants depend. Across our offices in the US, Europe, Asia Pacific, and India, our talented quant researchers, engineers, traders, and business operations professionals are united by our uniquely collaborative, high-performance culture, and our commitment to giving back. From entering dynamic new markets to embracing disruptive technologies, and from developing an innovative research environment to diversifying our trading strategies, we dare to continuously innovate and collaborate to succeed.
</div>

Information Tech Consultants

<div>
 
 
 Job Title:
 
 Data Scientist/Machine Learning Engineer
 
 
 
 Location:
 
 UK
 
 
 
 Experience:
 
 2&ndash;5 years
 
 
 
 Education:
 
 Master's in Science (IT/Computer Science/Engineer)
 
 
 
 Employment Type:
 
 Full-Time
 
 
 
 UK based candidates only.
 
 
 
 Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies.
 
 
 
 Required Skills:
 
 
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 2-4 years of experience in Data science/Machine learning models from coding to deployment.
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 Work with datasets using Python or R, SQL, No SQL.
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 Assist in developing predictive and statistical models
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 Write and optimize queries using SQL.
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 Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability.
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 Hands-on experience with ML libraries like Scikit-learn, TensorFlow, or PyTorch.
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 </ul>
 
 
 Preferred Skills:
 
 
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 Hands on experience in coding (mandatory python and SQL or C++).
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 Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning.
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 Familiarity working with large data sets.
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 Project Management background preferred.
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 </ul>
 
 
 
 
 
 Qualifications :
 
 
 <ul>
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 Master&rsquo;s (Required)
 
 in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology.
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 You should be entitled to work in the UK with legal work authorization status.
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 Must be willing to travel within the UK as per project/client requirements.
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 Excellent communication skills and teamwork skills.
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 </ul>
 
 
</div>

Intact Insurance UK

<div>
 
 APPLY NOW!
 
 
 
 Intact Insurance is the new name for RSA in the UK, Ireland, and across Europe. It&rsquo;s a new name and a new way to do business. Backed by global expertise and a commitment to service that feels different, we&rsquo;re focused on making insurance simpler, faster, and more responsive.
 
 
 
 Shape The Future
 
 
 
 We&rsquo;re leading a transformation in insurance helping people, businesses and society prosper in good times and be resilient in bad times. When you join us, you&rsquo;re not just taking a job, you&rsquo;re stepping into a career where you can make a real difference.
 
 
 
 Grow With Us
 
 
 
 We&rsquo;re customer-driven, community-focused, and committed to helping our people grow. Whether you&rsquo;re early in your journey or bringing years of experience, we&rsquo;ll support you with the tools, flexibility, and opportunities to thrive.
 
 
 
 Win As a Team
 
 
 
 We&rsquo;re looking for a Machine Learning Engineer to help build and run production-ready ML systems that make a real impact across the business. You&rsquo;ll work closely with Data Scientists and engineering teams, shaping the ML roadmap, developing scalable solutions, and driving innovation while growing your career.
 
 
 
 You&rsquo;ll Make An Impact By
 
 
 
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 Build and automate ML pipelines for feature engineering, model training, and model scoring using Python, PySpark, Databricks, and MLflow.
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 Productionise Data Science models, converting notebooks into modular, tested, production-ready code.
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 Deploy models into batch and real-time environments, managing versioning, promotion, rollback, and scheduled workflows via MLflow and APIs.
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 Implement monitoring and observability, including data and model drift detection, performance alerts, logging, and automated retraining.
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 Collaborate with Data Engineering and Platform teams on CI/CD integration, pipeline performance, compute optimisation, and secure deployment patterns.
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 Maintain engineering standards, ensuring high-quality testing, documentation, code quality, reproducibility, and operational reliability.
 
 
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 </ul>
 
 Your Skills And Experience
 
 
 
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 Experience with ML platforms including Databricks, MLflow, Delta Lake, and cloud environments.
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 Proficient in Python, PySpark, and SQL, following production coding best practices.
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 Understanding of data, distributed ML pipelines, and model deployment patterns, including monitoring, drift detection, and lifecycle operations.
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 Exposure to CI/CD, containerisation, and API integration, with the ability to build scalable, production-ready ML systems.
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 Comfortable working technically while communicating effectively with Data Scientists, stakeholders, and cross-functional teams.
 
 
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 </ul>
 
 Why You&rsquo;ll Love It Here
 
 
 
 Being part of our team means you&rsquo;ll have the support and freedom to bring your best self to work each day. As a permanent member, here&rsquo;s what you can look forward to
 
 
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 Annual discretionary bonus
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 Up to 11% pension contributions
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 Hybrid working + flexible hours
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 25 days annual leave + bank holidays + buy/sell options
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 Health &amp; wellbeing + virtual GP
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 Career development and mentoring
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 Inclusive culture + employee networks
 </li>
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 Share investment options
 
 
 </li>
 </ul>
 
 Our DEI Commitment
 
 
 
 We celebrate individuality and believe our differences make us stronger. We&rsquo;re proud to foster a culture where everyone feels respected, valued, and empowered to thrive.
 
 
 As an Equal Opportunity and Disability Confident Employer, we ensure fair consideration for all applicants and offer interviews to all disabled candidates who meet the essential criteria.
 
 
 We understand that everyone&rsquo;s circumstances are different and are happy to explore flexible working options such as reduced hours or job shares to support work&ndash;life balance.
 
 
 If you meet the core criteria but not every requirement, we&rsquo;d still love to hear from you. Let&rsquo;s explore how this role could support your next career step. If you need adjustments during the recruitment process, just let us know we&rsquo;re here to support you.
 
 
</div>

HOMETRACK

<div>Hometrack is redefining the mortgage journey for lenders, brokers, and consumers by delivering market-leading valuation and property data services to the financial, property, and technology industries. Our key commercial and go-to-market segment is in financial services, primarily mortgage lenders, including nine of the top 10 mortgage providers.
At Hometrack, we are looking for an experienced Senior Machine Learning Engineer, to translate POC model code from data science and analytics into robust pipelines and live APIs.
Responsibilities:<ul><li>
Oversee the deployment of machine learning models into production, ensuring they perform well in real-world conditions and monitoring their performance over time.</li><li>
Work closely with data scientists, software engineers, product managers, and stakeholders to integrate machine learning solutions into our products and services.</li><li>
Develop automated workflows for model retraining, testing, and deployment to streamline the machine learning lifecycle.</li><li>
Advocate for and implement best practices in software engineering, including code reviews, continuous integration, and continuous delivery (CI/CD) for machine learning models.</li></ul>
Requirements:<ul><li>
Strong understanding of machine learning applications, development life cycle processes and tools: CI/CD, version control, testing frameworks, MLOps.</li><li>
Strong Python experience and knowledge, with the ability to write stable, scalable and maintainable code.</li><li>
Experience with data science Python libraries such as Sckit-learn, Pandas, NumPy, PyTorch, PySpark, LightGBM.</li><li>
Have worked with a cloud service, such as AWS.</li><li>
Familiarity developing Infrastructure as code (e.g Terraform, cloudformation).</li><li>
Have some experience with data engineering, building data pipelines with PySpark, SQL (E.g in Databricks, Glue) to power machine learning applications.</li><li>
Comfortable working with Docker and containerised applications.</li><li>
Experience leveraging AI native engineering tooling.</li><li>
Passion for building products that meet customer needs and business objectives.</li><li>
Strong sense of responsibility and a track record of delivering high-quality results in a fast-paced environment.</li></ul> 

Benefits 
<ul><li>
Everyday Flex - greater flexibility over where and when you work</li><li>
25 days annual leave + extra days for years of service</li><li>
Day off for your birthday, house move, good deed day, and digital detox day</li><li>
Cycle to work and electric car schemes
</li><li>Free Calm App membership
</li><li>Enhanced Paternity Leave
</li><li>Fertility Treatment Financial Support
</li><li>Group Income Protection and private medical insurance</li><li>
Gym on-site in London &ndash; or membership in regional offices</li><li>
7.5% pension contribution by the company</li><li>
Discretionary annual bonus up to 10% of base salary</li><li>
Talent referral bonus up to &pound;5K</li></ul></div>

Senior Machine Learning Engineer

Faculty

<div><h2 class="jobSectionHeader">Why Faculty? 
</h2> 
We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we&rsquo;ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact here.
We don&rsquo;t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence.
Our business, and reputation, is growing fast and we&rsquo;re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology.
AI is an epoch-defining technology, join a company where you&rsquo;ll be empowered to envision its most powerful applications, and to make them happen.<h2 class="jobSectionHeader">
About the role</h2>
As a Principal Machine Learning Engineer, you'll serve as the definitive technical authority on ML engineering across the organisation, setting the standard for how we design, build, and scale AI systems. You will own the architectural vision for our most complex and high-stakes programmes, influence engineering strategy at an organisational level, and act as a trusted partner to senior leadership and executive clients.
This role goes beyond leading projects, you are a force multiplier who shapes the engineering culture, elevates the capability of those around you, and ensures our technical foundations are built to last.<h2 class="jobSectionHeader">
What you'll be doing:</h2><ul><li>
Defining and owning the organisation-wide technical vision for ML engineering, establishing architectural standards and engineering practices that scale across teams and clients.</li><li>
Overseeing the end-to-end delivery of flagship, business-critical ML programmes, spanning multiple workstreams, engineering teams, and client organisations.</li><li>
Driving the strategic adoption of new technologies, platforms, and ways of working, influencing how the entire engineering craft evolves.</li><li>
Cultivating senior engineering talent, coaching leads and managers, building capability pipelines, and embedding a culture of technical rigour and excellence.</li><li>
Acting as the principal technical voice in C-suite and executive client engagements, shaping AI strategy and securing long-term strategic partnerships.</li><li>
Leading on the most significant sales and pre-sales opportunities, providing architectural authority that differentiates our proposition and wins high-value engagements.</li><li>
Partnering with Data Science, Commercial, and Infrastructure leadership to align ML engineering strategy with broader business goals and growth ambitions.</li></ul><h2 class="jobSectionHeader">
Who we're looking for:</h2><ul><li>
You are a recognised ML engineering authority, able to go exceptionally deep across multiple domains and provide definitive technical judgement on the hardest problems.</li><li>
You have mastery of Python and a proven track record of designing and operationalising production-grade ML systems at scale, across multiple frameworks and paradigms.</li><li>
You are an expert across multiple major Cloud Solution Providers and have set the architectural direction for complex, full-stack AI platforms spanning multiple organisations.</li><li>
You have deep expertise in containerisation, orchestration, and MLOps at scale, and have established the standards others follow.</li><li>
You have a proven track record of developing senior engineering talent, coaching leads and managers, building capability, and shaping high-performance engineering cultures.</li><li>
You have a visible external profile, through publications, conference contributions, open-source leadership, or industry influence, that reflects your standing in the field.</li><li>
You operate naturally at the executive level, translating complex ML engineering decisions into commercial outcomes and proactively shaping the strategic direction of client engagements.</li></ul><h2 class="jobSectionHeader">
Our Interview Process</h2><ul><li>
Talent Team Screen (30 minutes)</li><li>
Introduction to the role (45 minutes)</li><li>
Pair Programming Interview (90 minutes)</li><li>
System Design Interview (90 minutes)</li><li>
Commercial &amp; Leadership Interview (60 minutes)</li></ul><h2 class="jobSectionHeader">
Our Recruitment Ethos</h2>
We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We&rsquo;re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations.
Some of our standout benefits:<ul><li>
Unlimited Annual Leave Policy</li><li>
Private healthcare and dental</li><li>
Enhanced parental leave</li><li>
Family-Friendly Flexibility &amp; Flexible working</li><li>
Sanctus Coaching</li><li>
Hybrid Working</li></ul>
If you don&rsquo;t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.</div>

Principal Machine Learning Engineer

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Principal Machine Learning Engineer