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>
 <li>
 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
 </li>
 <li>
 Familiarity with deploying models in edge environments
 </li>
 <li>
 Strong problem-solving skills and an analytical mindset
 </li>
 <li>
 Excellent communication and collaboration abilities
 
 
 </li>
 </ul>
 What's On Offer
 
 
 <ul>
 <li>
 Competitive salary based on experience
 </li>
 <li>
 Opportunity to work on groundbreaking AI technology
 </li>
 <li>
 Diverse and inclusive work environment
 </li>
 <li>
 Professional growth and development opportunities
 
 
 </li>
 </ul>
 Apply via Haystack today!
 
 
</div>

Machine Learning Engineer

IC Resources

<div>
 I&rsquo;m working with a deep‑tech startup specialising in machine learning, building next‑generation tools to transform how complex integrated circuits are verified. Their technology accelerates simulation coverage and reduces tapeout risk &mdash; giving chip design teams a step‑change in capability.
 
 
 This is a high‑impact opportunity for a Machine Learning Engineer looking to make a difference in silicon.
 
 
 
 What They&rsquo;re Looking For
 
 
 
 <ul>
 <li>
 First degree in relevant STEM subject
 </li>
 <li>
 3+ years in industry building production ML systems
 </li>
 <li>
 Python + PyTorch/JAX expertise for training, inference, and model export
 </li>
 <li>
 Experience building data pipelines for complex scientific/engineering datasets
 </li>
 <li>
 Solid software engineering fundamentals &mdash; testing, CI/CD, clean APIs
 </li>
 <li>
 End‑to‑end ML system ownership from data ingestion to model deployment
 </li>
 <li>
 Clear communication &mdash; writing specs, documenting APIs, presenting to customers
 </li>
 <li>
 Familiarity with circuit simulation or EDA tools (nice to have)
 </li>
 <li>
 C++/CUDA experience for performance‑critical components (nice to have)
 </li>
 <li>
 Startup or fast‑moving team experience
 
 
 </li>
 </ul>
 
 Why Consider It
 
 
 
 <ul>
 <li>
 Competitive salary, bonus, and meaningful equity
 </li>
 <li>
 Flexible remote/hybrid setup with London/Cambridge/Oxford bases
 </li>
 <li>
 Support for learning and development
 </li>
 <li>
 Close collaboration with researchers and exposure to real customer workflows
 </li>
 <li>
 Your work ships to real semiconductor customers and runs inside production chip‑design tools
 
 
 </li>
 </ul>
 Please contact Chris Amison for more information.
</div>

Klanik

<div>
 
 
 🚀
 
 Hiring: Machine Learning Engineer
 
 
 
 
 
 
 📍
 
 Location:
 
 Abu Dhabi, UAE
 
 
 
 
 
 We are looking for a talented
 
 Machine Learning Engineer
 
 to design, build, and deploy scalable machine learning models and AI solutions. This role combines model development, data engineering, and production deployment to deliver innovative, high-impact AI applications.
 
 
 
 
 
 🔹
 
 Key Responsibilities
 
 
 
 
 
 
 &bull; Model deployment using Docker, Kubernetes
 
 
 &bull; Model optimization (TensorRT, OpenVINO, ONNX, triton, sparsing, pruning)
 
 
 &bull; CI/CD pipelines for ML (Git, Jenkins, GitHub Actions)
 
 
 &bull; Integration with backend &amp; edge devices
 
 
 &bull; Performance tuning (latency, throughput, FPS)
 
 
 &bull; Monitoring model drift &amp; production performance
 
 
 &bull; Strong Python &amp; system design skills
 
 
 &bull; Experience with inference pipelines for video streams
 
 
 
 
 
 🔹
 
 Qualifications:
 
 
 
 
 
 
 Bachelor's or Master's degree in Computer Science, Machine Learning, Data Science, AI, or a related field.
 
 
 Additional qualifications, such as certifications or publications in the field of machine learning, are a plus
 
 
 
 
 
 🔹
 
 
 Years of Experience
 
 
 
 
 
 
 
 5 to 9 years of experience
 
 
 
 
 
 🔹
 
 
 Languages
 
 :
 
 
 
 
 
 
 &middot; English
 
 
 . Excellent communication, verbal and written skills.
 
 
 
 
 
 Are you looking for a great opportunity to be part of an amazing challenge with great development possibilities? This job is for you!
 
 
 
 
 
 
 
 About KLANIK:
 
 
 
 
 
 
 
 Klanik is an IT consulting company providing solutions to some of the world&rsquo;s largest industrial and services groups for 10 years.
 
 
 We support our clients with the creation and development of their new products and services around 4 main business lines:
 
 
 
 
 
 ➜ Information Technology and Systems (IT &amp; IS)
 
 
 ➜ DevOps and Cloud
 
 
 ➜ Big Data and AI
 
 
 ➜ Cybersecurity
 
 
 
 
 
 Klanik is a community of +500 passionate experts empowering clients in 6 countries throughout Europe, the Middle East, and the Americas. Our Team is dedicated to offering our global clients project support while guaranteeing a consistent level of service alongside a commitment to excellence and strong core values. We&rsquo;re always looking for smart, talented, driven, down-to-earth, fun-to-work-with people who want to make a positive and meaningful impact!
 
 
 
 
 
 
 
 Being a &ldquo;KLANIK&rdquo;
 
 
 
 
 
 
 
 That means being an out-of-the-box thinker, a precursor who is keen to create, innovate, and collaborate in an environment where you can enjoy being yourself and be valued for your ideas. It&rsquo;s being part of a community of experts who have a passion for and stay abreast of the latest technologies.Do you feel like a technology pioneer, full of creative ideas, supported by strong know-how and expertise in the latest technologies? We believe you could be a good fit to our culture!
 
 
 
 
 
 
 
 Our culture is our pride
 
 
 
 
 At Klanik, we believe that we are stronger together than we are alone. Trust, ethics, respect, and transparency are deeply fixed in our culture, alongside with the pride in a job well done.
 
 
 Our community motto is that people give the best of them when they feel listened to, respected and empowered to develop themselves. Therefore the better we treat our people, the bigger the success they will achieve. We apply those values on day to day basis among our teams, with our clients and even with our competitors.
 
 
 Being part of the Klanik community means relying on each other&rsquo;s, learning from each other&rsquo;s and growing all together. Our community fosters creativity, innovation and development within our teams to tackle more and more complex challenges and deliver the best solutions to our clients.
 
 
 
 
</div>

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>
 <li>
 Collaborate with scientific teams to interpret data, draw insights, and refine experimental approaches based on model findings.
 </li>
 <li>
 Engage directly with real biological problems, balancing modelling expertise with practical, applied research.
 </li>
 <li>
 Use your technical knowledge to drive projects independently within a small, open-source environment, ensuring results are meaningful and impactful.
 </li>
 <li>
 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>
 <li>
 A Degree or higher level in a relevant field (e.g., Computer Science, Data Science, Bioinformatics) with proven applied experience.
 </li>
 <li>
 Demonstrated industrial experience in developing machine learning solutions within biological or biochemical research settings.
 </li>
 <li>
 Strong understanding of disordered proteins, protein dynamics, and limitations of static techniques like NMR.
 </li>
 <li>
 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>

Code Compass 🧭

<div>
 
 🤖 Machine Learning Engineer &ndash; Computer Vision &amp; Generative AI &ndash; 100%
 
 
 
 
 
 📍 Berlin, Germany | 💰 &euro;50,000 - &euro;70,000 + Benefits | 🌍 Hybrid Working
 
 
 
 
 
 Our client is a technology-driven organisation developing intelligent software solutions that leverage artificial intelligence, automation, and advanced data processing to solve complex business challenges at scale.
 
 
 
 
 
 Operating at the intersection of machine learning, software engineering, and product innovation, they are investing heavily in next-generation AI capabilities and expanding their engineering team to support the continued evolution of their platform and services.
 
 
 
 
 
 This role is ideal for a Machine Learning Engineer who enjoys taking cutting-edge AI solutions from research to production and wants to work on technically challenging projects with tangible real-world impact.
 
 
 
 
 
 ⚙️ Tech Stack:
 
 
 Python, PyTorch, TensorFlow, Computer Vision, Generative AI, Diffusion Models, GANs, Image Processing, Machine Learning, Docker, Cloud Platforms, Production ML Systems, Automation, AI Workflows
 
 
 
 
 
 🚀 About the Role:
 
 
 
 
 <ul>
 <li>
 As a Machine Learning Engineer, you will:
 </li>
 <li>
 Develop, train, and optimise machine learning models focused on computer vision and generative AI applications
 </li>
 <li>
 Build and deploy scalable ML solutions into production environments
 </li>
 <li>
 Design automation solutions that reduce manual effort and improve operational efficiency
 </li>
 <li>
 Monitor model performance, identify improvement opportunities, and enhance reliability and accuracy
 </li>
 <li>
 Collaborate closely with engineering, product, and operational teams to deliver practical AI-driven solutions
 </li>
 <li>
 Research emerging technologies and rapidly evaluate their suitability for business applications
 </li>
 <li>
 Contribute to the evolution of production-grade machine learning infrastructure and workflows
 </li>
 </ul>
 
 
 
 
 ➕ Nice to Have:
 
 
 
 
 <ul>
 <li>
 Several years of hands-on experience within machine learning and computer vision
 </li>
 <li>
 Strong Python development skills with experience using frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Practical experience working with generative AI technologies including diffusion models and GANs
 </li>
 <li>
 Understanding of ML deployment, scalability, performance optimisation, and production environments
 </li>
 <li>
 Experience with Docker and cloud-based infrastructure
 </li>
 <li>
 Knowledge of creative AI tools and visual content workflows
 </li>
 <li>
 Experience working with image-based products, digital content platforms, or related industries
 </li>
 <li>
 Strong analytical thinking combined with a pragmatic, solution-oriented mindset
 </li>
 <li>
 Ability to communicate effectively in an international and cross-functional environment
 </li>
 </ul>
 
 
 
 
 💪 Benefits:
 
 
 
 
 <ul>
 <li>
 Opportunity to work on cutting-edge AI and machine learning technologies
 </li>
 <li>
 Highly collaborative and innovative working environment
 </li>
 <li>
 Flexible working arrangements with hybrid options
 </li>
 <li>
 Exposure to challenging technical problems with real-world impact
 </li>
 <li>
 Professional development support, training, and continuous learning opportunities
 </li>
 <li>
 Modern working environment with strong team culture and regular social activities
 </li>
 </ul>
 
 
 
 
 
 ✉️ Due to the volume of applications, we may not be able to respond to everyone individually. However, we genuinely appreciate every application and will contact shortlisted candidates directly.
 
 
</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
 
 
 
 <ul>
 <li>
 The opportunity to be in a brand new position in a growing team
 </li>
 <li>
 Develop large-scale distributed training pipelines to manage datasets and complex models
 </li>
 <li>
 Build and optimize low-latency inference pipelines, ensuring models deliver real-time predictions in production systems
 </li>
 <li>
 Develop libraries to improve the performance of machine learning frameworks
 </li>
 <li>
 Maximize performance in training and inference using GPU hardware and acceleration libraries
 </li>
 <li>
 Design scalable model frameworks capable of handling high-volume trading data and delivering real-time, high-accuracy predictions
 </li>
 <li>
 Collaborate with quantitative researchers to automate ML experiments, hyperparameter tuning, and model retraining
 </li>
 <li>
 Partner with HPC specialists to optimize workflows, improve training speed, and reduce costs
 </li>
 <li>
 Evaluate and roll out third-party tools to enhance model development, training, and inference capabilities
 </li>
 <li>
 Dig into the internals of open-source ML tools to extend their capabilities and improve performance
 
 
 </li>
 </ul>
 
 Your Skills And Experience
 
 
 
 <ul>
 <li>
 5+ years of experience in machine learning with a focus on training or inference systems
 </li>
 <li>
 Hands-on experience with real-time, low-latency ML pipelines in high-performance environments is a strong plus
 </li>
 <li>
 Strong engineering skills, including Python, CUDA, or C++
 </li>
 <li>
 Knowledge of machine learning frameworks such as PyTorch, TensorFlow, or JAX
 </li>
 <li>
 Proficiency in GPU programming for training and inference acceleration (e.g., CuDNN, TensorRT)
 </li>
 <li>
 Experience with distributed training for scaling ML workloads (e.g., Horovod, NCCL)
 </li>
 <li>
 Exposure to cloud platforms and orchestration tools
 </li>
 <li>
 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>

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