of BCG's marketing systems. Your responsibilities will involve both internal and external facing audiences, contributing to the enhancement of personalized experiences through innovative machinelearning algorithms and data-driven solutions. Key Responsibilities Primary role is a full stack software engineer designing and building user-friendly and intuitive … strong comprehension of highly scalable web platforms, products and services and the ability to identify and mitigate technical risks throughout the development lifecycle. Continuous learning and actively seeking out exposure to learning opportunities for innovative technologies and methodologies. Show a history of adapting to evolving technical landscapes and … and optimizing databases. Experience implementing machinelearning algorithms and embedding techniques such as linear regression, logistic regression, Word2Vec, or other AI/ML frameworks. Proficiency in using orchestration tools such as Kubernetes, Docker, and Helm. Strong collaboration and communication skills, with the ability to work in a global more »
of BCG's marketing systems. Your responsibilities will involve both internal and external facing audiences, contributing to the enhancement of personalized experiences through innovative machinelearning algorithms and data-driven solutions. Key Responsibilities Primary role is a full stack software engineer designing and building user-friendly and intuitive … strong comprehension of highly scalable web platforms, products and services and the ability to identify and mitigate technical risks throughout the development lifecycle. Continuous learning and actively seeking out exposure to learning opportunities for innovative technologies and methodologies. Show a history of adapting to evolving technical landscapes and … and optimizing databases. Experience implementing machinelearning algorithms and embedding techniques such as linear regression, logistic regression, Word2Vec, or other AI/ML frameworks. Proficiency in using orchestration tools such as Kubernetes, Docker, and Helm. Strong collaboration and communication skills, with the ability to work in a global more »
prediction targets and pertinent datasets. Conducting preliminary research to evaluate the feasibility and potential success of identified targets. Engineering and constructing sophisticated, production-ready machinelearning algorithms integral to daily trading decisions and operations. Key Qualifications: Extensive expertise in implementing deep learning and advanced machinelearningmore »
Analyse the data from our on-truck measurement system Process and visualise large datasets suitable for presentation to our customers Implement first-principle and machinelearning based methods Support the backend team in deploying to AWS Apply signal processing techniques to reduce noise and improve algorithm performance Required … 5+ years of Python programming experience with focus on data manipulation and analysis 3+ years working with large datasets performing clustering, classification, and regression machinelearning or deep learning 3+ years using SQL to query large datasets Excellent documentation and data presentation skills Experience communicating highly technical more »
Learning £100,000 - £130,000 REMOTE IN THE UK COMPANY: We have an exciting new opportunity to join an innovative AI/ML platform driven startup. They are looking for a Senior Product Manager with a background in ML to join and take their product to the next … within a small high calibre team Work closely with cross-functional teams, including Engineering, Intelligence, and Product, to achieve project goals. Apply your technical ML/MLOps knowledge to enhance the current systems and architecture. Stay actively informed about the most recent developments and advancements in AI REQUIREMENTS: Hold a more »
South East London, London, United Kingdom Hybrid / WFH Options
Stepstone UK
learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large … market to make it work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt … their integration with other services. Design & build infrastructure to facilitate experimentation & deployment of AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker. Experience in DevOps, Cloud Operations, ML-engineering more »
learning engineers. Working in the AI Labs department you will also work to help us to improve the design of AI systems (classical ML & LLMs) on AWS and to draft and build new solutions. Such solutions include data enrichment pipelines and building blocks to train, evaluate, and serve large … market to make it work for everybody. Your responsibilities: Work together with the AI labs, Data, Infrastructure, and Platform teams to design and deploy ML-based services using AWS Sagemaker and other cloud based solutions. Analyse current AWS account setup for data scientists & MLEs and improve it together with StSt … their integration with other services. Design & build infrastructure to facilitate experimentation & deployment of AI systems. Collaborate with the AI Labs teams to advance current ML workflows and software development standards. Qualifications Your skills and qualifications Industry experience in AWS ML services, including AWS Sagemaker Experience in DevOps, Cloud Operations, MLmore »
and platforms, with a focus on applying these technologies rather than developing them from scratch Experience in designing and prototyping solutions using AI/ML platforms Relevant programming languages subject matter expertise Excellent communication skills Strong leadership skills including mediation, negotiation, delegation, feedback and evaluation of staff Strong administration and … management skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services is a plus. Understanding of how to take requirements and separate them into development stories and tasks using various different approaches. Ability to research complex new topics, devise prototypes and propose technical designs. … exciting opportunity then please apply and we’ll get back to you as soon as we can. Applicants will be screened daily. Keywords: AI ML Artificial Intelligence MachineLearning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model more »
and platforms, with a focus on applying these technologies rather than developing them from scratch Experience in designing and prototyping solutions using AI/ML platforms Relevant programming languages subject matter expertise Excellent communication skills Strong leadership skills including mediation, negotiation, delegation, feedback and evaluation of staff Strong administration and … management skills Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services is a plus. Understanding of how to take requirements and separate them into development stories and tasks using various different approaches. Ability to research complex new topics, devise prototypes and propose technical designs. … exciting opportunity then please apply and we’ll get back to you as soon as we can. Applicants will be screened daily. Keywords: AI ML Artificial Intelligence MachineLearning Solutions Architect Deep Music DJ Integration Neural Network Natural Language Processing (NLP) Model more »
frameworks essential to the expansive quant trading operations. This presents an exciting opportunity for a Software Engineer to collaborate closely with Data Scientists and ML researchers in architecting, designing, and building the organisation's evolving ML infrastructure. The ideal candidate for this role should possess over 5 years of experience … as a backend Software Engineer, with a solid background in Python and Kubernetes with expertise in deploying ML models. Responsibilities: Design, build, and maintain multiple backend applications and frameworks crucial for quants and traders. Contribute to future plans and roadmaps, emphasising the development of flexible, scalable, and well-designed systems. … Collaborate closely with Data Scientists, ML researchers, and fellow developers to architect, design, construct, and maintain the constantly evolving ML infrastructure. Requirements: Over 5 years of experience as a backend Software Engineer. Strong desire for MachineLearning Infrastructure experience or prior involvement in the field. Proficiency in Python. more »
implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machinelearning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, MachineLearning Engineer, or similar role. … Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (eg Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL more »
implement AI solutions. Integrate AI with client data, APIs, and production systems. Conduct data analysis and build machinelearning models. Utilize modern ML and AI libraries and frameworks. Deliver reliable solutions collaboratively. Desired Experience: Significant experience as an AI Consultant, MachineLearning Engineer, or similar role. … Proven track record in start-up or dynamic environments. Hands-on experience with cloud-based AI and ML solutions (e.g. Azure). Knowledge of generative AI applications and embedding models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL more »
modeling disciplines; analyzing and presenting data insights and code, communicating effectively with technical developers and non-technical marketing business partners, teammates and leadership; implementing machinelearning algorithms, working end-to-end on machinelearning pipelines in production; data engineering working on ETL pipelines, crawling APIs and more »
Senior MachineLearning Engineer (NLP) – Startup LLM - £130k +equity – Remote (UK/EU) Are you an expert in NLP/LLM? Are you passionate about building groundbreaking technology and shaping the future of AI? Do you dream of starting a company from the ground up? If so, we more »
to create extraordinary outcomes. You could say we are a digital transformation business. We specialize in software product development, analytics, data science, IoT solutions, machinelearning, DevOps optimization, and modernization of applications, data, and platforms. We work with incredible clients in all types of industries such as smart … and fluent in SQL (any flavor) for analysis; Experienced in applying a broad range of data science techniques, including data manipulation, visualization, package development, machinelearning algorithms, NLP, Shiny/Dash, deep learning, and reinforcement learning. Highly skilled in R package development, functional programming principles, documentation best more »
per annum (dependent on seniority and experience) 🚀 Leading Applied AI Company 🪖 Cutting edge DefenceTech 🔥 Working with the latest tech in AI and ML ⚙️Preferred Tech: Python; Azure; Machine Learning. 📍 The Company I'm working with an exciting startup who are revolutionising the way that Artificial Intelligence, MachineLearning … DefenceTech - that's where you come in! 💼 The Role We are looking for a Python Developer, proficient with Azure and ideally with exposure to MachineLearning to join this exciting and rapidly growing tech-focused team. You would be working with bleeding edge tech and contributing … to solutions that could impact the whole of society and save lives. 👉 What's in it for you? ⭐ Working on bleeding edge AI/ML tech ⭐ Being part of a high-calibre engineering team at a tech obsessed company ⭐ Unlimited annual leave - average 36 days p/a ⭐ Share options more »
CodeAssist Developer {MachineLearning} Leeds £35,000 - £45,000 + Training + Early Friday Finish Are you a CodeAssist Developer, who wants to join an innovative company at the forefront of software that's is integral to a niche side or the automotive industry? On offer is the more »
We're a fast growing AI consultancy, working on a broad range of projects that include: computer vision (detection, segmentation, generation) reinforcement learning time series prediction simulations (continuous and event-based) optimization For more concrete examples see our portfolio on https://dotsquarelab.com We are working from … an office based in Camden, with flexibility for working from home. Eligibility to work in the UK is required. Responsibilities research and develop novel ML architectures implement algorithms according to the high-level specifications monitor deployments set up, track experiments and provide a high-level summary to the research team … Qualifications Must have: MSc or PhD in ML or Computer Science good Python coding skills extensive knowledge of machinelearning techniques (at least 1 from the list above) working knowledge of Linux systems Good to have: familiarity with cloud platforms (GCP or AWS) familiarity with web development (Fast more »
plasma division and are aiming to expand partnerships with institutions in the US and Europe. Key research areas include developing new simulation capabilities, utilising machinelearning for reactor design, and deploying uncertainty quantification tools. Candidates need a background in plasma physics or a closely related discipline, plus experience … in scientific computing and/or knowledge of machine learning. The roles may involve the opportunity for an extended secondment to a partner institution. Responsibilities: - Lead and contribute to new code development under the group leader's direction, conducting detailed code analysis and performance evaluations. - Conduct research into novel … managing the migration of codes to new computing architectures and evaluating their effectiveness. - Develop innovative techniques at the intersection of HPC and AI/ML for exascale computing, ensuring scalable training, deployment, and evaluation of machinelearning models. - Collaborate with national and international partners to optimise codes for more »
SOFTWARE DEVELOPER - LONDON/REMOTE/HYBRID Graduate Software Developer, Junior Software Developer, Java, C++, C, Python, JavaScript, C#, .Net, SQL, Ruby on Rails, MachineLearning, Data Science, Data Engineering, Agile If you are driven by innovation and want to be at the forefront of ground breaking solutions … them to rapidly prototype, test, and refine solutions. Data is the lifeblood of finance, and they specialize in developing sophisticated data analytics platforms and machinelearning models that extract valuable insights from vast volumes of financial data. Their solutions empower businesses and individuals to make informed decisions, optimise … operations, and seize new opportunities in the market. Fuelled by a culture of collaboration, innovation, and constant learning, the goal is to foster an environment that encourages team members to think outside the box, challenge conventions, and bring their unique perspectives to the table. They value diversity and believe more »
Borehamwood, England, United Kingdom Hybrid / WFH Options
Addition+
and provide support for our Azure platform for MachineLearning, ensuring its continuous availability. Develop engineering solutions for model training, such as ML Pipelines and parallelization. Assist in project and model lifecycle management and packaging using MLFlow. Support the transition of products to higher environments through productionizing and … deployment (e.g., promoting ML Pipelines to Production), leveraging MLOps practices and technologies. Experience & Skills Required Skilled in EDW and big data storage, data provisioning, processing, and pipeline orchestration. Comprehensive understanding of data modeling, possessing expertise and experience in data architecture. Proficient coding abilities in Python, SQL, following best software development … such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch. Knowledgeable about key MLOps concepts such as CI (including data aspects), CD (specific to ML), CT (Continuous Training), feature stores, automated CI/CD, and ML pipelines. Solid experience in source and version controls (Git), as well as linking versions more »
a technology disruption across Cloud, Edge, 5G, and Networking segments. We need a Software Enablement Engineer to bolster the Arm MachineLearning (ML) SW ecosystem to help accelerate this growth. Responsibilities Develop performance tests on a variety of ML workloads including LLMs, CNNs, Diffusion models, traditional ML, etc. … form Collaborate with external partners to showcase Arm technology Collaborate with internal partners to improve future Arm Infrastructure products Contribute Arm performance improvements to ML open-source projects Develop proof of concepts that are used for performance analysis, demos, How-Tos, and educating the engineering community on Arm technology Support … and conference booth staffing 1-4 weeks of travel throughout the year Required Skills and Experience Creative debug and problem solving Significant experience in ML: Performance analysis and optimization, building models, fine-tuning, RAG, and model training Experience with Pytorch/TensorFlow and Hugging Face Libraries Must be a good more »
Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), MachineLearning, Research, Marketing £70,000-£90,000 salary ***Please note this role does not offer sponsorship, and you must be based in London to apply*** An exciting AI content platform … a commercial setting too! Essentials: 5+ years experience as a Data Scientist Proven expertise with deep learning , NLP , and LLMs Expert ability with ML/MLOps Experience mentoring/up-skilling more junior team members. Strengths in SQL , Python ( Pandas , Scikit - Learn , PyTorch ) PhD -level education and experience within … below and I'll be in touch! Senior Data Scientist - Hybrid (2 day p/w) - London - Permanent NLP/LLM, Python (Pandas, PyTorch), MachineLearning, Research, Marketing £70,000-£90,000 salary more »
Borehamwood, England, United Kingdom Hybrid / WFH Options
Addition+
Establish consistent and automated local environments, DevOps practices and tools like Docker and Azure DevOps. Partner with data scientists and machinelearning (ML) engineers to deploy ML models on Azure. What’s in it For You? Amazing company to work for! Hybrid working. Great culture and environment. For more »
A MachineLearning Compiler Engineer is sought by this rapidly expanding developer of In-Memory-Computing to be based at their R+D Centre in Zurich. The Compiler Engineer will be responsible for developing emerging compiler technologies and the associated SDK ensuring robustness and efficiency. The Compiler Engineer will more »