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Machine Learning Engineer - Contract (Financial Services, Outside IR35). Design, build, and deploy machine learning models into production within a Financial Services environment.

Led by Success Coach Nilesh (bestselling author and strategist with 23+ years of corporate expertise), we empower individuals across 15+ industries and 23+ nationalities through elite mentorship and hands-on learning. The program is designed to provide real UK industry exposure through structured le

Machine Learning Research Engineer - LLM post-training/mid-training. Computer Science, Machine Learning, or a closely related discipline. Knowledge of alignment and reasoning strategies, including in-context learning, chain-of-thought, tool integration, or retrieval-augmented approaches.

As an MLOps Engineer, you will support machine learning products from inception, working across the full data ecosystem.

MSc in Machine Learning, Computer Science, or a related field. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies.

Lead the development and deployment of machine learning models used in a live SaaS product. Strong experience as a Machine Learning Engineer / AI Engineer in a product-led environment. The platform applies machine learning to real-world data to analyse and improve how content performs at scale, movi

Lead Machine Learning Engineer. In this role, you will provide senior technical leadership across complex machine-learning initiatives, shaping direction and priorities, guiding teams and stakeholders through ambiguous, high-risk delivery, building durable shared solutions, growing engineering capab

ML / AI Engineer (Python/Azure), Fully Remote, £80,000 - £110,000 per annum.My client, a leading AI solutions company are currently looking to strengthen their team and bring on an ML / AI Engineer on a permanent basis.GenAI, ML Models as well as coding in Python.Build and integrate ML models into

We are looking for a highly capable machine learning engineer to optimize and enhance our machine learning systems. Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Solving complex problems with multi-layered data sets, as well

Translating data science models into scalable, production-ready machine learning solutions. Deploying, monitoring and maintaining machine learning models in live environments. They combine deep technical expertise with real-world delivery to design, build and deploy machine learning solutions that c

This is a unique opportunity to work at the intersection of machine learning, advanced hardware design and high-performance data processing. Design and optimise novel machine learning architectures for high-dimensional and visual data. Strong background in machine learning algorithm development and

PhD in Computer Science or Machine Learning preferred. Deep knowledge of modern deep learning architectures, optimisation, and tooling. Experience designing, training, and evaluating deep learning systems.

We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pip

Python/C++，掌握PyTorch/TensorFlow等框架；.Triton, cutlass，能根据业务需要写出高效算子；.

Machine Learning Scientist [Analyst/Associate]. As a Machine Learning Scientist on the AI team at Cerberus, you’ll work on high-impact projects that combine the pace of a startup with the reach of a global investment platform. Our team partners directly with internal investment desks as well as po

To help us succeed, our team is looking for Machine Learning Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation

We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pip

Lead Machine Learning Engineer. MSc or PhD in Computer Science, Machine Learning, or Signal Processing. This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation in real-time communication and audio intelligence.

We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pip

Wanting to turn advanced machine learning into dependable production systems, you will shape technical delivery and drive real-world impact for clients. This role involves designing and delivering robust machine-learning systems from concept to live operation, develop shared approaches that speed up

We are working with a fully remote gaming and entertainment business that is scaling its data and machine-learning capabilities. With strong backing for data-driven decision-making, they are now looking for a Machine Learning Engineer to help operationalise, maintain, and optimise their ML systems a

LI-PRIO About the role Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices.

Core Duties Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications Lead experimentation cycles: define hypotheses, design experiments, evaluate results, and iterate rapidly while adhering to governance requi

As a Machine Learning Engineer, you will play a key role in designing, developing, and implementing machine learning models and algorithms tailored to address specific national security requirements. This position requires expertise in machine learning, data analysis, and a commitment to pushing the

Machine Learning Quant - Start Up £150,000 GBP + performance bonus + internal fund investment Onsite WORKING Location: Central London, Greater London - United Kingdom Type: Permanent My client is a stealth start-up Quant hedge fund founded by a Math Postdoc and advised by a Fields Medallist.

NLP) Experience weighted more towards classic machine learning than AI Engineering Strong knowledge in LLMs, NLP and Machine Learning / AI Excellent academics throughout including a minimum of a 2. An incredible opportunity for a Machine Learning Research Engineer to work on researching and investig

Design and develop machine learning models for traditional ML use cases.

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Defining and implementi

Machine Learning Quant - Start Up.

Machine Learning Engineer/Senior Machine Learning Engineer Location:. The team is expanding and looking for a Machine Learning Engineer or Senior Machine Learning Engineer to design, build and maintain the frameworks, tooling and packages that support high quality modelling and analytical workflows.

Machine Learning Engineer £45,000 - £65,000 GBP £7,000 DV Bonus Hybrid WORKING Location:. We're seeking Machine Learning Engineers to design and deploy ML models for national security applications. Build and optimise Machine Learning pipelines Develop LLM-powered solutions and apply responsible A

Deep understanding of the modern Machine Learning stack, for example:. Speechmatics is the leading expert in Speech Intelligence, and uses AI and Machine Learning to unlock business value in human speech worldwide. Staff Machine Learning Engineer – Speechmatics.

Machine Learning Quant - Start Up £150,000 GBP + performance bonus + internal fund investment Onsite WORKING Location:.

Join to apply for the Machine Learning Engineer role at HASH. Supervised learning (classification/regression), including feature engineering and regularization.

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse Financial Services clients. You will be instrumental in bringing machine learning out of the lab and into the real world, contributing to scalable software architecture and defining best practices. Defi

Senior Machine Learning Scientist (Generative AI) - Viator. Knowledge in (any or all) User Modelling, Representation Learning, RecSys, Large Language Models (LLM).

Flaky tests kill trust, stall releases, and bleed engineering velocity.We’re building autonomous agents that.Real AI teammates, not test scripts that break on impact.We’re venture-backed and led by operators who’ve scaled Meta’s testing infrastructure, launched Uber’s global playbooks, and

Proven experience in software engineering with a significant focus on machine learning. MSc or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related technical field, or equivalent practical experience. Innovation & Problem Solving: Stay at the forefront of advancements in

Proven track record as a Machine Learning Scientist delivering models into production. Learning & Growth: Conference and learning budgets, mentorship, and upskilling programmes. Get notified about new Machine Learning Engineer jobs in.

Machine Learning & NLP Expertise: Strong understanding of machine learning and natural language processing with relevant commercial experience in building and deploying NLP solutions. Senior Machine Learning Engineer – Definely. Join to apply for the Senior Machine Learning Engineer role at Define

As an RS member on this team, you will support the development and validation of new real-world variables and datasets built using various curation approaches, including human chart review and artificial intelligence/machine learning (AI/ML). We’re looking for a Senior Research Scientist to help u

Design, develop, and deploy machine learning and generative AI models, including but not limited to NLP models, computer vision models, and reinforcement learning systems. Proven experience (3+ years) in machine learning and generative AI, with a strong portfolio of projects involving models like GA

This is a hands‑on role at the intersection of machine learning, data engineering, and customer delivery. Founding ownership: Equity, autonomy, and the chance to shape our machine learning foundation. We have traction, we’re backed by top investors, and now we’re building the next frontier of

Design, optimise and operate robust end‑to‑end machine learning pipelines within the Databricks environment on Azure. Implement governance and observability, integrating compliance, monitoring and audit features across the full machine learning lifecycle. Experience with machine learning framewo

Strong proficiency in Python with experience in machine learning deployment and MLOps tooling. An established consultancy is seeking a Machine Learning Engineer (Contract) to support a global education organisation on an ongoing AI workspace project.

Following successful pilots with major partners and recent pre-seed investment, we’re scaling up and looking for a Machine Learning Engineer to lead the development of our core AI systems. Sign in to set job alerts for “Machine Learning Engineer” roles. Machine Learning Scientists and Engineer

This range is provided by Harnham.Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfo

We use the latest technologies to solve challenges in traffic, data storage, machine learning, and scalability. Comprehensive understanding of statistics, optimization, and machine learning. Access to StackAdapt programmatic courses and certifications to support continuous learning.