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Data Scientist Placement Programme - No Experience Required Our training will help you kick-start a new career as a Data Scientist. We are recruiting for companies who are looking to employ our Data Science Traineeship graduates to keep up with their growth. The best part is you will not need any previous experience as full training will be provided. You will also have the reassurance of a job guarantee within 20 miles of your location upon completion. Whether you are working full time, part-time or unemployed, this package has the flexibility to be completed at a pace that suits you. The traineeship is completed in 4 easy steps, you can be placed into your first role in as little as 6-12 months: Step 1 - Full Data Science Career Training You will begin your data science journey by studying a selection of industry-recognized courses that will take you from beginner level all the way through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI, and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step will fully prepare you for the professional projects that you will undertake in step 4 of this process. At the end of this step, you will complete a short online multiple-choice exam to showcase your understanding of the courses before moving on to step 2. Step 2 - CompTIA Data+ CompTIA Data+ is an early-career data analytics certification for professionals tasked with developing and promoting data-driven business decision-making. It teaches Data Mining, Visualization, Data Governance & Data Analytics. In any industry, gaining official certifications is very important in the recruitment process. Therefore, this globally recognized certification will enhance your CV and make you stand out from the crowd. Step 3 - Official Exam The CompTIA Data+ exam will certify that you have knowledge and skills required to transform business requirements in support of data-driven decisions through mining and manipulating data, applying basic statistical methods, and analysing complex datasets while adhering to governance and quality standards. The exam is 90 minutes long and can be sat either in your local testing centre or online. Step 4 - Practical Projects Now that you have completed your theory training and official exams, you will be assigned 2 practical projects by your tutor. The projects are the most important part of the traineeship as it will showcase to employers that you have skills required to work in a data science role. The projects will use real world scenarios where you be utilising all of the skill that you have learned. Whilst you are progressing through the projects, you will have the ongoing support from your personal tutor. Once both projects have been completed and given the final sign off, you will have completed the traineeship and will be ready to move onto the recruitment stage. Your Data Science Role Once you have completed all of the mandatory training, which includes the online courses, practical projects and building your own portfolio, we will place you into a Data Scientist role, where you will be guaranteed a great starting salary. We have partnered with a number of large organisations strategically located throughout the UK, providing a nationwide reach of jobs for our candidates. At a one off cost of £1495, or a deposit of £212 followed by 10 interest free monthly instalments of £148, this represents a great opportunity to start a rewarding career in IT and have a real career ladder to start climbing. If you are not offered a role at the end of the training we will refund 100% of your course fees. Read through the information? Passionate about starting a career in data science? Apply now and one of our friendly advisors will be in touch. ‘Please note that this is a training course and fees apply

As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems.

Senior Machine Learning Engineer. By leveraging rich voice and text data, you will build and fine-tune machine learning models and LLM-integrated APIs. Develop and prototype new machine learning systems and LLM applications using unique proprietary healthcare datasets.

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 create tangible business impact. As a Machine Learning Engineer, you’ll work closely with D

Machine Learning Engineer (Contract).

Principal Machine Learning Engineer – Production Systems.

My client is looking for an experienced ML Infrastructure Engineer to support the deployment, optimisation and scaling of advanced machine learning models in production environments. Productionise machine learning models from research through validation, staging and live deployment. Strong programmi

Senior / Staff Machine Learning Engineer - Gaming. Deep understanding of machine learning, data analysis, and statistical modelling.

Solid understanding of statistics, data modelling, and machine learning fundamentals. Xcede is partnering with a fast-growing applied AI consultancy working on complex, real-world machine learning projects across a range of industries. You’ll be responsible for building robust, scalable machine le

Senior Machine Learning Scientist / Machine Learning Scientist / Research Scientist / Applied Research Scientist / Machine Learning Researcher / AI Research Scientist / Computer Vision Scientist / Deep Learning Scientist / AI Scientist / ML Research Engineer / Python / PyTorch / Deep Learning / Comp

Machine Learning Engineer | Early Stage Deep Tech Start Up | London. Founding Machine Learning Engineer. Design and build machine learning models for document understanding, knowledge graphs, and data extraction.

Operationalising machine learning models and ensuring they are production-ready.

We are looking for a Machine Learning Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision-making models to build the most engaging cust

A fast-moving AI startup is rebuilding how logistics paperwork gets processed — one of the biggest bottlenecks in global trade.The product replaces slow, manual verification with production-grade ML systems used by enterprise customers.They’re hiring now because demand is real, ARR is growing, a

As a Machine Learning Engineer you'll take open-source LLMs (code and general models) and turn them into high-performance software engineer agents using supervised fine tuning and large scale reinforcement learning. Machine Learning Engineer London onsite to £110k. Do you have expertise with Machin

Your new company This organisation is a long-established leader in smart mobility and intelligent transport solutions, with decades of innovation in traffic data, road safety, and network optimisation.It designs and delivers advanced technologies-from intelligent road-safety products to real-time tr

Senior Machine Learning Engineer Cambridge to £90kDo you have experience of solving real-world problems via Machine Learning techniques?You could be progressing your career working on real-world problems within a highly successful SaaS tech company that provides AI and ML products for automotive in

Our client is a pioneering technology company delivering laser communications and temporospatial software-defined networking platforms to the aerospace and space industry.Leveraging technology originally developed at a major global tech firm, they are leading innovation in satellite, airborne, cislu

Develop, maintain, and optimize scalable data pipelines & machine learning models based on key metrics for scalability, reliability, and real-world impact. Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Understanding of ethical considerations

Develop and prototype new machine learning systems and LLM applications using unique proprietary healthcare datasets. Senior Machine Learning Engineer. By leveraging rich voice and text data, you will build and fine‑tune machine learning models and LLM‑integrated APIs.

Machine Learning Engineer (Customer Solutions). Senior Machine Learning Engineer.

A leading gaming company in Greater London is seeking a Machine Learning Engineer to innovate and push technological boundaries within game development. This role involves designing machine learning models, contributing to research, and collaborating with diverse teams. Competitive compensation and

The best coffee machine in London, handmade in Italy and imported just for us!. You’ll be joining a collaborative team that values curiosity, ownership, and continuous learning. Learning allowance and leave to attend conferences or take exams.

A future enabled and enriched by the incredible power of machine learning. Since then, our interdisciplinary team of drug discovery experts and machine learning specialists has built powerful new predictive and generative AI models that accelerate scientific discovery at digital speed. As a Machine

Your work will influence long‑term platform evolution and help shape the architecture, software stack and tooling that underpins large‑scale machine learning computation. Strong understanding of one or more deep learning frameworks, such as PyTorch.

Data Modelling DevOps APIs/Web Service Integration Programming/Scripting Data Privacy Big Data Processing Cloud Computing Artificial Intelligence/Machine Learning Performance Monitoring Data Analysis Data Management Artificial Intelligence (AI) Ethics Algorithm Design Data Model Management Machine L

Principal Machine Learning Engineer. Lead the end-to-end development of AI solutions using Computer Vision, Machine Learning, Generative AI, and data science to enable capabilities such as automated sports metadata generation and detection of key events in live content and data streams.

Machine learning engineering experience. This role focuses on building machine learning models used across financial data, risk, and automation use cases.

Design and develop machine learning models for traditional ML use cases (forecasting, classification, anomaly detection) and GenAI/LLM applications. Mentor junior colleagues and share learnings across the team.

Machine Learning EngineerRemote (EMEA)October 8, 2025### Job DescriptionAbout the RoleDesign, train, and deploy ML models to production to solve real business problems.

Proven track record in applying machine learning / deep learning techniques for time‑series, physiological signals or continuous sensor data. As a Senior ML Engineer / Senior Data Scientist at CoMind, you will join a multidisciplinary team working at the intersection of neurophysiology, optics, ma

Machine Learning Engineering: Proficiency in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow). By bringing together specialists with backgrounds in machine learning, computer science, physics, chemistry, biology and more, we’re optimistic that we can build new methods that will pu

Join us as a Lead Machine Learning Engineer to spearhead the technical direction and delivery of complex, innovative AI projects.

Research, design and deliver machine learning solutions to tackle problems. Understand requirements from various stakeholders across the business, designing machine learning solutions to solve business problems. Keep up to date with state‑of‑the‑art research, contribute to Machine Learning gro

A strong mathematical understanding of the fundamentals of Machine Learning and core statistics is very important for this role. Maths, Physics, Machine Learning) from a top university. We're hiring Graduate Machine Learning Researchers for our quantitative modelling team.

Head of Machine Learning Modeling. Setting the long‑term vision for our model portfolio, covering everything from boosted trees to time‑series deep learning, graph‑based models, and advanced architectures for order‑book prediction.

Design and develop models for portfolio optimization, recommendation systems, propensity models, lead scoring, time series forecasting, and risk analysis using a combination of classical statistical methods, machine learning algorithms and novel deep learning algorithms. Stay at the forefront of AI

Contributions to industry standards, open source software libraries, or public thought leadership in machine learning systems. Our Operations Data team consists of over 25 people across 4 data disciplines: Analytics Engineering, Data Analytics, Machine Learning, and Data Science. Machine Learning su

The role is a Senior Machine Learning Engineer / Senior Data Scientist position on a multidisciplinary team at the intersection of neurophysiology, optics, machine learning, and signal processing. Proven track record in applying machine learning / deep learning techniques for time‑series, physiolo

Key Qualifications*** Excellent understanding and experience in deep learning model development, optimization and deployment (PyTorch, Torch compile, export workflows such as Torch Export and ONNX, performance profiling)* Strong software engineering skills and experience building robust ML codebases

Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid. Senior Machine Learning Engineer | Computer Vision | Deep Learning | Python | C++| London, Hybrid.

Machine Learning Scientist II, Search Marketing Bidding. As a Machine Learning Scientist II, you will sit at the intersection of Data Science, Engineering and Marketing Management. You will work within a cross-functional squad to design, build and deploy machine learning models that solve complex in

Machine Learning Engineer – Forward Deployed. You will deploy and harden machine learning components in real-world energy and industrial environments. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career.

As a Senior Machine Learning Engineer, you will sit at the intersection of data science, platform engineering, and production systems.

Design and run experiments to improve our ML processing system, using a mix of classic and deep learning techniques. Strong technical skills in setting up, running, and evaluating experiments using both classic and deep learning-based approaches. Ability to effectively mix classic and deep learning