MACHINE LEARNING ENGINEER NEW PERMANENT OPPORTUNITY AVAILABLE FOR A MACHINE LEARNING ENGINEER IN LONDON WITH SECURITY CLEARANCE Permanent opportunity for a Machine Learning Engineer Must hold SC or DV Clearance £40,000 to £75,000 plus bonus and benefits London based organisation in an accessible location To … apply please call 07704 152 640 or email WHO WE ARE? We are recruiting a permanent Machine Learning Engineer to work with a leading technology and engineering company that do excellent work across Defence and National Security sectors covering a range of exciting projects. Due to the nature of … our clients, you must hold Security Clearance. WHAT WILL THE MACHINE LEARNING ENGINEER BE DOING? As a Machine Learning Engineer, you will be working alongside our team on a wide variety of projects with a special focus on innovation. You could be working with all types of data more »
Skills: Overall good knowledge of Oracles cloud solutions (OCI, IaaS, PaaS, Networks) Strong knowledge of AI technologies Application AI features for different industries Machine Learning, DeepLearning Common AI use cases AI services & technologies (Digital assistant, NLP, Speech, Anomaly detection) Generative AI incl. Cohere Data science AI more »
Senior Machine Learning Engineer - Health Tech Start Up We are seeking a talented and experienced Machine Learning Engineer to join a a rapidly expanding health-tech start-up, who are looking to be number 1 in the industry in the next 5 years. As a Machine Learning … architecting, building, testing, and delivering a new and improved running engine that generates adaptive training plans for tens of thousands of active users. Machine Learning Engineer Skills: Strong Python Programming A deep understanding of designing and implementing complex algorithms, data science and machine learning You should have … at least 1 year of professional experience in data science and machine learning, or hold a PhD or Masters degree in a related field such as Computer Science, Maths, Physics, or Engineering Experienced in MLOps, experienced delivering features end-to-end, from architecture design and building through to releasing more »
e.g., PEFT, DeepSpeed, TensorRT) to optimize ML models? Have you ever managed or worked with a multi-node HPC cluster? Are you familiar with DeepLearning using PyTorch Library? Do you have experience with Kubernetes container orchestration? Have you worked with some of the recent Large Language Models … the languages of ML (quantization, PEFT, DeepSpeed, ONNX, TensorRT...) inference servers like multi-LoRa, LoRA Exchange, TitanML ️ multi-node HPC clusters like a pro ️ DeepLearning with PyTorch containers with Kubernetes LLMs (OpenAI, Mistral, Claude, LLaMA...) inside and out LLMs for GPU usage, scaling, and data movement ️ The more »
Manchester, England, United Kingdom Hybrid / WFH Options
Cubiq Recruitment
Excellent Salaries + Commission + Benefits Central Manchester or Remote Areas: Artificial Intelligence, NLP, Data, Computer Vision, Recommender Systems, LLM's, Quantum Computing, Machine Learning, DeepLearning We are a leading recruitment agency with an established AI department that has been running for over 7 years. Our more »
Employer” as part of the Top Employer Institute annual listings. We were assessed on several key HR practices including Diversity and Inclusion. Role : Machine Learning engineer Key Responsibilities Work with our customers and focus on our AWS Analytics and ML service offerings such Amazon Kinesis, AWS Glue, Amazon Redshift … used by our customers. Work closely with our Solution Architects, Data Scientists and Service Engineering teams Experience with design, development and operations that leverages deep knowledge in the use of services like Amazon Kinesis, Apache Kafka, Apache Spark, Amazon Sagemaker, Amazon EMR, NoSQL technologies and other 3rd parties Develop …/Kafka/Spark/Storm implementations Experience with analytic solutions applied to the Marketing or Risk needs of enterprises Basic understanding of machine learning fundamentals Ability to take Machine Learning models and implement them as part of data pipeline IT platform implementation experience Experience with one or more »
order book, we are looking for 2 graduates in the above disciplines join our team and help drive the adoption of machine vision and deeplearning in the manufacturing industry. We are looking for people who have a passion in this area. You will be part of the … you will be able to influence your future development and enjoy Staying up-to-date on industry trends and advances in machine vision and deeplearning technology to identify new opportunities for our clients. What will you be doing? You’ll provide creativity and problem-solving skills to more »
modelling, management, DBA experience are desirable Experienced in applying some of the data science techniques to project work, including data visualisation, package development, machine learning, NLP, Shiny/Dash, optimisation, deeplearning, reinforcement learning Some knowledge of MLOps, implementation experience in MLOps is desirable Daily use … life balance by offering flexibility in where you work. We also promote well-being and provide access to Well Being Coaches. Your development and learning will be taken seriously, and we'll support your professional development with training and certification, with regular feedback and review. It is a fun more »
interim Head of Architecture to lead their technical efforts in the field of generative AI and Machine Learning. The ideal candidate will possess a deep understanding of advanced GenerativeAI architectures, frameworks, and algorithms, along with a proven track record of leading successful technical teams in the development of innovative … strategic leadership and guidance in the design and development of advanced GenAI architectures and solutions. Define and evolve the architecture of GenerativeAI and machine learning platforms, ensuring alignment with business objectives, scalability, and performance requirements. Stay abreast of the latest advancements in GenAI research and technology trends, and leverage … partners, to communicate technical vision, gather feedback, and drive alignment on strategic initiatives. Qualifications: Master's or Ph.D. in computer science, artificial intelligence, machine learning, or a related field. Experience in designing and implementing complex AI architectures, including deeplearning, reinforcement learning, and other generative AI more »
+ BUPA + high Bonus Were looking for an MSc/PhD level Principal AI Engineer/AI Scientist. An Artificial Intelligence/Machine Learning expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The Principal … Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. Youll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about?productionizing?ML systems, long context text summarization, production-grade ML … and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models 4+ years of post-doctoral or similar commercial experience Experience in more »
Industry Advanced experience in coding with SQL, Python and/or R Offer strong knowledge of AI, GenAI, NLP. Offer strong knowledge of Machine Learning and DeepLearning Offer good knowledge of ML Ops (Docker, Kubernetes, CI/CD. Qualified within own personal discipline, with extensive post more »
the company's global client base and reach, you have the lovely bonus of working with a small, tight-knit team of experienced Machine Learning professionals. This is a fantastic opportunity to make a tangible impact with your work and utilise cutting-edge LLMs within an NLP context. Responsibilities … NLP in a commercial setting, ideally for information extraction, entity recognition, etc. Experience working with transformers-based models such as BERT, GPT, etc. Extensive DeepLearning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks more »
and passionate person wanting to work in a progressive business intelligence and data science environment. You will take a key role in identifying machine learning and AI approaches to meet business needs. Do you have experience leading the delivery of innovative data science methodologies to meet business needs? Delivering … Main duties of the job Working within a small friendly team, you will oversee a variety of data science related tasks including developing machine learning/AI approaches and leading the development of data frameworks and analysis of data to ensure accuracy of sources and data resilience to support … working with the Assistant Director for Evaluation Business Intelligence and Impact taking a leading role communicating highly complex and sensitive information relating to machine learning, and AI developments in line with new national initiatives. Identify and understand business needs, prioritise, and design analytical tools and processes to meet those more »
Science is pivotal to this mission. As a Senior Data Scientist you will take a leading role in researching, building, deploying and monitoring machine learning (ML) models, in close collaboration with cross-functional teams. Your efforts will support our clients through enhanced decision-making and automation, utilising our developing … rent payment fluctuations. How can we cluster repair jobs to provide root cause insights and next best actions. Building recommendation systems, including testing reinforcement learning approaches, to support optimised rent collection Taking labelled data and supervised learning approaches, to generate optimal contact strategies for multi-channel tenant engagement … folks to work with - though we would say that! What qualifications and experience are we after? Ideally a Masters degree in Data Science, Machine Learning, Artificial Intelligence, or similarly related and quantitative discipline. Merit and above would be great. Circa 5+ years of serious commercial experience working on a more »
Lead Machine Learning Engineer - Full Time On behalf of our Biotech client, we are recruiting for a Lead Machine Learning Engineer. This position has come live due to company growth and the client is looking for a highly technical Machine Learning expert to join them who have … experience with the following... Proven Leadership experience in a highly technical environment Extensive Python experience skilled with deeplearning frameworks (e.g PyTorch and TensorFlow) Excellent problem solving, analytical and communication skills. Experienced with MLOps tooling Strong knowledge with Computer vision models Bachelors, Masters or PhD program in Computer more »
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 more »
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 more »
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 more »
Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc.) Years of commercial experience working on and deploying recommendation engines Excellent Machine Learning and DeepLearning skills Experience of working and deploying at scale Knowledge Graph and entity linking experience General RecSys experience If this more »
Are you an experienced Senior Machine Learning Engineer who wants to work in a team at the cutting edge of engineering sustainability? Our client is on a mission to empower engineers to use AI to overcome their most difficult physics and design challenges and build truly great products. With … years, are growing globally (50 employees and counting), and have ambitious plans to expand. In light of this, they are recruiting a Senior Machine Learning Engineer to continue their growth and improve the capabilities of their products. This well-funded company was founded in 2016, and provides a no … the office 3 days per week. It’s an exciting time to join this ambitious team!! WHAT YOU'LL BE DOING As Senior Machine Learning Engineer, you will sit within the company's Data Science team and report to the Director of Engineering. Their Machine Learning stack runs more »
targets and pertinent datasets. Conducting preliminary research to evaluate the feasibility and potential success of identified targets. Engineering and constructing sophisticated, production-ready machine learning algorithms integral to daily trading decisions and operations. Key Qualifications: Extensive expertise in implementing deeplearning and advanced machine learning techniques more »
across tech and finance to help us achieve our aim. About the Role We seek an exceptional Senior AI Engineer with a strong machine learning and AI background to join our team. In addition to exceptional programming skills and knowledge of data structures and algorithms, the ideal candidate should … also be proficient in the mathematical underpinnings of deeplearning and deeply understand modern AI techniques. As a Senior AI Engineer, you will be responsible for designing, developing, and implementing cutting-edge AI models. Responsibilities Work closely with the Director of AI research to design, develop, implement, and … train very large AI models. Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the deployment of machine learning models in collaboration with the MLOps team. Continuously research and stay current with the latest advancements in AI, machine learning, and data science. Contribute more »
Machine Learning Engineer Up to £65,000 + benefits London - 3 days a week This is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. The Role: Your day-to-day responsibilities will include: Deploying … and productionising segmentation, churn, and recommender system-based projects, alongside deeplearning and neural networks to support core clients Part of a team of 9 reporting to the Head of Data Science - working closely with a wider Data Engineering function Focusing on end-to-end data pipelines, for more »
create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machine learning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart home devices … fluent in SQL (any flavor) for analysis; Experienced in applying a broad range of data science techniques, including data manipulation, visualization, package development, machine learning algorithms, NLP, Shiny/Dash, deeplearning, and reinforcement learning. Highly skilled in R package development, functional programming principles, documentation best practices more »
Lead Machine Learning Engineer Up to £115,000 + benefits London - 3 days a week This is a chance to join an E-commerce and retail-driven marketing agency to help deploy impactful models and work with cutting-edge technologies. They are looking for a Lead MLE to work … and deploying models. The Role: Your day-to-day responsibilities will include: Building, deploying and productionising segmentation, churn, and recommender system-based projects, alongside deeplearning and neural networks to support core clients Part of a team of 12 reporting to the Head of Data Science Chance to more »
