a wide range of projects, contribute to our thought leadership, and make a tangible difference in the financial services landscape. If you're a passionate problem-solver with a deep understanding of AI and a desire to shape the future of finance, we invite you to join our team. We offer a dynamic and collaborative environment where you can … AI trends and industry best practices to drive innovation and deliver cutting-edge solutions. Connect to your skills and professional experience Technical Proficiency: Strong understanding of AI concepts, machine learning algorithms, and deeplearning architectures. Familiarity with various AI solution design patterns and best practices for different business applications. Experience with data visualization tools and techniques to … Computer Science, Data Science, Business Analytics, or a related field, or equivalent. Experience in a consulting or solution design role, with a focus on AI and data-driven solutions. Deep experience in the financial services industry. Strong problem-solving, analytical, and communication skills. Relevant industry certifications (e.g., AWS Certified Machine Learning - Specialty, Azure AI Fundamentals or equivalent) are More ❯
Join to apply for the Machine Learning Engineer (UK) role at Coram AI Join to apply for the Machine Learning Engineer (UK) role at Coram AI Who We Are Started in 2021, Coram.AI is building the best business AI video system on the market. Powered by the next-generation video artificial intelligence, we deliver unprecedented insights and 10x … backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role We are hiring a Machine … Learning engineer. Take an existing open-source Pytorch model, fine tune, productionize them in C++ runtime, and optimize for latency and throughput. Take an open-source model and fine-tune them on our in-house data set as needed. Design thoughtful experiments in evaluating the tradeoffs between latency and accuracy on the end customer use case. Integrate the model More ❯
cohort members, we have the potential and the opportunity to change the way organisationsoperate. As we continue to grow,we'relooking for a highly motivated and skilled Machine Learning (ML) and Artificial Intelligence (AI) Engineer to contribute to the development and deployment of our advanced ML and AI solutions. In this hands-on role,you'llbe involved in building … successfully contributing to the design, building and deployment of ML models into production environments. Expertisein Python and relevant ML libraries Experience with various ML algorithms (e.g. supervised, unsupervised, reinforcement learning) and deeplearning frameworks (e.g. TensorFlow,PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud Platform More ❯
cohort members, we have the potential and the opportunity to change the way organisationsoperate. As we continue to grow,we'relooking for a highly motivated and skilled Machine Learning (ML) and Artificial Intelligence (AI) Engineer to contribute to the development and deployment of our advanced ML and AI solutions. In this hands-on role,you'llbe involved in building … successfully contributing to the design, building and deployment of ML models into production environments. Expertisein Python and relevant ML libraries Experience with various ML algorithms (e.g. supervised, unsupervised, reinforcement learning) and deeplearning frameworks (e.g. TensorFlow,PyTorch). Experience developing generative AI applications and deploying them into production. Experience working with cloud platforms, ideally Google Cloud Platform More ❯
and test your ideas with real-world data in an academic environment. Who are we looking for? The ideal candidate will have: • Either a post-graduate degree in machine learning or a related discipline, or commercial experience developing novel machine learning algorithms. We will also consider exceptional candidates with a proven record of success in online data science … competitions, such as Kaggle • Experience in one or more of deeplearning, reinforcement learning, non-convex optimisation, Bayesian non-parametrics, NLP or approximate inference • Excellent reasoning skills and mathematical ability are crucial: off-the-shelf methods don't always work on our data so you will need to understand how to develop your own models • Strong programming … work scheme • Monthly company events . Company: G-Research Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Industry , Machine Learning , NLP , United Kingdom More ❯
Social network you want to login/join with: Our SAIL (Solutions and AI Lab) practice is looking for an experienced Machine Learning Engineer to join the team. In SAIL, we build state-of-the-art AI solutions that help our clients with some of their biggest projects ranging from tools that support energy network risk forecasting and climate … clients solve their key data challenges. You will also support the growth of our team by helping them develop the necessary skills. Typical engagements include: Defining and implementing Machine Learning projects throughout their lifecyclefrom conception, data preparation, model engineering, evaluation, deployment, to monitoring and maintenance. Establishing and developing ML Ops frameworks and standards for clients, integrating them into their … production solutions and contribute to our company's growth. You should be capable of advising clients and actively participating in technical delivery. Your skills include: Passion for solving machine learning problems, with a blend of technical delivery and consulting skills. Advanced degree in computer science, mathematics, physics, engineering, or related STEM field. Strong problem-solving skills with a solid More ❯
will work collaboratively across the organization with multiple teams to improve the efficiency of company processes and provide insights and assistance to users. Responsibilities Design, implement, and deploy machine learning models and systems to solve complex problems and drive business outcomes; Research, develop, and implement machine learning algorithms and models for tasks such as classification, regression, clustering, anomaly … recommendation systems; Research, develop, and implement AI tools such as NLP, LLM, and IA; Collect, preprocess, and curate large datasets required for training generative models; Experiment with different machine learning techniques and algorithms, including supervised, unsupervised, semi-supervised, reinforcement, and deeplearning; Design and optimize machine learning pipelines and workflows, incorporating techniques for data cleaning, feature … engineering, model selection, and hyperparameter tuning; and Develop scalable and efficient machine learning infrastructure and systems for training, testing, and deploying models in production environments. Qualifications Bachelor's degree or higher in Artificial Intelligence, Computer or Data Science, or related field. Master's degree preferred; Proven experience implementing and fine-tuning Large Language Models or interactive AI applications More ❯
Type: Contract (6 months, with extension likely) Start Date: Immediate/Within 2-4 weeks Job Description: We are seeking an experienced and highly motivated Lead Software Engineer with deep expertise in Artificial Intelligence (AI) , Machine Learning (ML) , and Python development to lead the design, development, and deployment of intelligent systems and data-driven applications for a leading … with at least 3 years in AI/ML. Strong proficiency in Python , including libraries like NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch . Solid understanding of ML algorithms , NLP , deeplearning , and statistical methods. Experience with Docker, Kubernetes , and cloud platforms like AWS/Azure/GCP . Hands-on experience with MLOps tools (MLflow, SageMaker, Kubeflow, etc. More ❯
and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each … cloud architecture and implementation with direct customer (internal or external) interaction - 3+ years of relevant experience in ML solutions design, architecture and development and deployment of large scale machine learning or deeplearning models and/or systems into production, including batch and real-time data processing. - Working knowledge of generative AI and hands-on experience in … a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation, SageMaker, Bedrock, and other ML services) - AWS Associate level certifications (e.g., Solutions Architect Associate, Machine Learning Associate) - Experience with automation and scripting (e.g., Terraform, Python) Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We More ❯
making it simple to switch and save money and thats why good things happen when you meerkat. Wed love you to be part of our journey. As a Machine Learning Engineer, you will be working closely with data scientists and a wide range of business and tech stakeholders with varying levels of understanding towards Machine Learning, and will … identify the tech requirements to productionise automated, scalable and stable Machine Learning products integrated into production systems that deliver actions and/or actionable insights. Everyone is welcome. We have a culture of creativity. We approach our work passionately, improve constantly and celebrate our wins at every turn. We are an inclusive workplace and our employees are comfortable bringing … but would love to hear what makes you great for this role. Some of the great things youll be doing: Develop, maintain, monitor (health & performance) and optimise integrated Machine Learning products. Work closely with Data Engineering, Platform and Architecture teams to improve and develop new products, integrations, tools and technologies. Work with data scientists to productionise various ML models More ❯
analyse large data sets to discover new insights. Working in a multi-disciplinary team within a highly technical and complex environment. Well versed in scalable data mining and machine learning techniques (using computers to improve as well as develop algorithms)Kernel Methods, DeepLearning, Statistical Relational Learning, Ensemble Methods Model using advanced statistical/mathematical models More ❯
Get AI-powered advice on this job and more exclusive features. Direct message the job poster from La Fosse Data Science, AI & Machine Learning Consultant at La Fosse Machine Learning Engineer London (Hybrid) Up to 65,000 One of La Fosses best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting … edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. Im looking for a Machine Learning Engineer to join a small & agile development team focused on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps … and multi-agent systemswith real-world impact on financial security and compliance. What Youll Do: Develop and deploy machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across a distributed agent system. Work alongside DevOps to build scalable More ❯
Social network you want to login/join with: Machine Learning Engineer, London, London col-narrow-left Client: Fitch Ratings Location: London, United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Reference: dbf61b3954d5 Job Views: 7 Posted: 07.07.2025 Expiry Date: 21.08.2025 col-wide Job Description: Fitch Group is currently seeking a Machine Learning … a difference. Want to learn more about a career in technology and data at Fitch? Visit: About the Team The Fitch Groups AI Implementation Chapter is seeking a Machine Learning Engineer to be part of a team dedicated to building and supporting Generative AI, Machine Learning (ML) and Data Science solutions across the Fitch Ratings organization. This position … Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Proficiency in ML algorithms, such as multi-class classification, decision trees, support vector machines, and neural networks (deeplearning experience strongly preferred) Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services , AWS Bedrock, S3, SageMaker; Azure AI Search, OpenAI, blob storage, etc. Bachelors degree More ❯
EDA engineers, robotics and ethical AI experts, legal and regulatory advisors, product counsel, UX/UI designers, electronics engineers, PTO engineers, automation engineers, CNC programmers, network security analysts, machine learning engineers, telemetry engineers, data engineers, data scientists, cabling, IT and network infrastructure engineers, and field application engineers. The architecture board will oversee the verticals of business modeling, space communication … JTAG) Embedded Software Engineer with 20+ years experience, Masters in Electronics & Telecommunications, proficient in Embedded C/C++, Python, Linux, RTOS, and hardware platforms Additional key skills include Machine Learning & AI, DeepLearning, Computer Vision, Data Science, RF Design, PCB design, 5G, macro/m-MIMO, Satellite, High-Speed RF applications, VHDL & FPGA Design Security certifications: CISM More ❯
Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deeplearning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity More ❯
Java Mathematical Modelling Mathematical skills, particularly a keen understanding of probabilities and statistics Analytic mindset Strong communication skills Accuracy and attention to detail Experience in data science (big data, deeplearning, machine learning) is beneficial Specific sports trading knowledge is beneficial but not essential If you feel you have the skills and experience required for this opportunity More ❯
or equivalent . Preferred Qualifications Knowledge of MR physics and MR imaging techniques Experience with MRI reconstruction algorithms or other physics based reconstruction techniques. Knowledge of artificial intelligence, machine learning and deeplearning is strongly preferred Experience with inverse problem statement and solving large systems of equations Experience with relevant programming languages, such as C++ and Python More ❯
transformation objectives and strategic goals. • Architect, Position, Design, Develop and Deploy enterprise solutions which include components across Process Intelligence (Celonis), Automation and the Artificial Intelligence spectrum such as Machine Learning, Deep-Learning, Virtual Assistants and Cognitive Services • Assist clients in transforming their work methodologies and management practices, thereby enhancing their technological expertise and promoting the adoption of More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Vallum Associates
transformation objectives and strategic goals. • Architect, Position, Design, Develop and Deploy enterprise solutions which include components across Process Intelligence (Celonis), Automation and the Artificial Intelligence spectrum such as Machine Learning, Deep-Learning, Virtual Assistants and Cognitive Services • Assist clients in transforming their work methodologies and management practices, thereby enhancing their technological expertise and promoting the adoption of More ❯
doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed. As a Machine Learning Engineer, you will be working within our Personalization team, helping to shape and drive the development of numerous products and initiatives that allow our customers to personalise messages across … multi-modal data such as images, text, and more, leveraging cutting-edge technologies including Large Language Models (LLMs). This is an exciting opportunity at the forefront of machine learning, helping to bring Accessible Intelligence to our customers with great scope to make a key difference across both OptiX and Optimove's overall platforms. We are looking for an … experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models. Role & Core Responsibilities Own the model development and release process More ❯
doers across NYC, LDN, TLV, and other locations, where 2 of every 3 managers were promoted from within. Growing your career with Optimove is basically guaranteed. As a Machine Learning Engineer, you will be working within our Personalization team, helping to shape and drive the development of numerous products and initiatives that allow our customers to personalise messages across … multi-modal data such as images, text, and more, leveraging cutting-edge technologies including Large Language Models (LLMs). This is an exciting opportunity at the forefront of machine learning, helping to bring Accessible Intelligence to our customers with great scope to make a key difference across both OptiX and Optimove's overall platforms. We are looking for an … experienced Machine Learning Engineer to work on incredibly interesting projects as we take our personalization capabilities to the next level. You will focus on developing and advancing ML/AI across our platforms, researching and investigating new machine learning applications within the company, and improving pre-existing models. Role & Core Responsibilities Own the model development and release process More ❯
City of London, London, United Kingdom Hybrid / WFH Options
Intellect Group
the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting … customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full … testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data More ❯
the Opportunity: We are seeking an ambitious and intellectually curious Junior Data Scientist to join a fast-growing, forward-thinking team working at the forefront of data science, machine learning, and applied AI. This is an excellent opportunity for a recent Master’s graduate eager to apply their academic expertise to solving real-world challenges—whether it’s predicting … customer behaviour, optimising operations, or identifying patterns in complex datasets. You’ll collaborate with experienced data scientists, machine learning engineers, and subject-matter experts to design, develop, and deploy models that deliver meaningful impact across a variety of industries. What You’ll Be Doing: Designing and building machine learning models to solve real-world problems Carrying out full … testing Presenting findings clearly to both technical and non-technical stakeholders Collaborating across data science, engineering, and product teams to build scalable solutions Staying current with advancements in machine learning and AI, and contributing new ideas to internal R&D discussions What We’re Looking For: A recently completed Master’s degree from a Russell Group university in Data More ❯
our business, where we safeguard advertising integrity by identifying and filtering out invalid and low quality traffic. We achieve this through high scale distributed and big data engineering, machine learning and ad forensics. We are seeking a Principal Applied Scientist to lead the Traffic Quality science strategy, focusing on protecting the integrity of our advertising ecosystem by detecting invalid … and low quality traffic. You will lead research in machine learning while delivering production-grade solutions that process billions of daily events with near-zero tolerance for errors. This role can be located in London, UK, or Bangalore, India. Key job responsibilities - Drive technical vision and architecture for next-generation invalid and low traffic detection systems - Pioneer novel approaches … in self-supervised learning and unsupervised learning. - Design scalable ML frameworks that balance sophisticated modeling with sub-millisecond latency. - Establish scientific standards and review mechanisms across traffic quality teams. - Mentor scientists and influence ML best practices across Amazon Advertising. - Partner with research organizations to advance state-of-the-art detection techniques. - Author technical publications and represent Traffic Quality at More ❯
