101 to 125 of 584 Permanent Machine Learning Jobs in London

commercial goals to identify opportunities to quickly deliver customer value Ensuring that the product continues to use best practices, utilising advances in AI/machine learning ???? What you’ll bring Demonstrated experience developing data strategy and machine learning algorithms for consumer applications, preferably with a agtech … focus Knowledge of the latest practices in AI/machine learning and can creatively apply them to a consumer application Demonstrated ability to deliver product in a tech startup environment and with speed Confidence to manage a tech team to develop a mobile app, and ability to inspire more »

software engineering team. This individual will manage a team of seven engineers, guiding them in the development of state-of-the-art AI and machine learning solutions. The ideal candidate will have a strong background in Python, data science, machine learning, and AI, with a proven … strategy for the engineering team, ensuring alignment with company goals and industry best practices. Stay up-to-date with the latest advancements in AI, machine learning, and healthcare technologies, and integrate relevant innovations into the team's work. Ensure the robustness, scalability, and security of all software solutions. … degree in Computer Science, Engineering, Data Science, or a related field. 7+ years of experience in software engineering, with a focus on AI and machine learning. Proven leadership experience, with at least 3 years in a managerial role overseeing a team of engineers. Proficiency in Python and experience with more »

problems for our clients. Our engineering teams build scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Engineering, which is comprised of our Technology Division and global strategist groups, is … due consideration to security, design, validation and SDLC framework Contribute to shaping the strategic vision of our Fraud screening platform involving data streaming and machine learning technologies Collaborate with product managers, business operations, engineers to define product requirements and objectives Participate in system design consulting, platform management Develop … corporate cash management desirable Experience with AWS services - Amazon MSK/Apache kafka, ECS, S3, IAM, AWS XRay Basic knowledge of data science and machine learning is preferable but not essential ABOUT GOLDMAN SACHS At Goldman Sachs, we commit our people, capital and ideas to help our clients more »

solver that wants to help keep the country safe? As a Data Scientist at MI5, you’ll be responsible for developing and applying new Machine Learning capabilities to help us automate the detection of the threats we face. Data Science forms a core part of our strategic approach … cycle of our Data Science products from concept through to research and delivery. As a Data Scientist, working closely with technical specialists such as ML Engineers, Business Analysts and Product Managers, your focus will be to understand and prioritise mission problems. You’ll develop solutions tailored to meet the organisation … experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in Python for data science, data manipulation and data visualisation. A resilient problem-solver more »

solver that wants to help keep the country safe? As a Data Scientist at MI5, you’ll be responsible for developing and applying new Machine Learning capabilities to help us automate the detection of the threats we face. Data Science forms a core part of our strategic approach … cycle of our Data Science products from concept through to research and delivery. As a Data Scientist, working closely with technical specialists such as ML Engineers, Business Analysts and Product Managers, your focus will be to understand and prioritise mission problems. You’ll develop solutions tailored to meet the organisation … experience in one of the following areas: Machine Learning, Applied Statistics, Computer Vision, Speech and Audio Processing, Natural Language Processing, Graph theory, ML research, or in a related specialist role. You’ll be proficient in Python for data science, data manipulation and data visualisation. A resilient problem-solver more »

large, complex datasets to extract actionable insights and build predictive models to optimise energy production, distribution, and consumption. Algorithm Development: Develop and implement advanced machine learning algorithms to forecast energy demand, improve grid reliability, and enhance operational efficiency. Big Data Management: Utilise big data technologies to process and … and dashboards to communicate insights to stakeholders at all levels of the organisation. Research & Innovation: Stay abreast of the latest advancements in data science, machine learning, and the energy sector to drive continuous innovation. Qualifications: Education: Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics … the energy or utilities sector. Technical Skills: Proficiency in Python, R, SQL, and big data technologies such as Hadoop, Spark, or Kafka. Experience with machine learning frameworks such as TensorFlow or PyTorch. Analytical Skills: Strong problem-solving skills with the ability to derive meaningful insights from complex datasets. more »

Looking for a deep learning role that could make the Mariana trench seem like a puddle? This global investment manager hires asset class experts, such as an ex-portfolio manager from a Tier 1 hedge fund to grow and manage risk. You’re going to be part of headcount … growth this year to over 1000 which includes a 20% increase into research. You’ll collaborate to develop different machine learning models for trading strategies and create high quality signals. You'll be working at an MFT systematic multi-strat fund whose performance has been top tier over … for an investment firm of this calibre. You will ideally have prior experience in a fund within financial services with a strong background in machine learning or a related field. Proficiency in Python/R and experience with deep learning frameworks such as PyTorch or TensorFlow will more »

pandas, TensorFlow, and PyTorch. Collaborating closely with quantitative analysts and traders to develop and deploy sophisticated algorithmic trading strategies, utilizing advanced mathematical models and machine learning techniques. Optimizing and fine-tuning existing Python codebase for maximum efficiency and scalability, employing techniques like parallel computing, asynchronous programming, and memory … in Python programming language, with a deep understanding of its inner workings, including memory management, concurrency, and performance optimization. Proficiency in data science and machine learning libraries such as scikit-learn, TensorFlow, and PyTorch, with hands-on experience in developing and deploying machine learning models in more »

be about designing, planning and implementing systems based on LLM-inference, including advanced RAG. To this end you will collaborate tightly between Data Scientists, Machine Learning and Big Data Engineers, as well as Cloud Software Engineers and DevOps in a Scrum environment. You can support streamlining deployment and … in MLOps for large models to build a better future where a new job is just a click away. Your responsibilities: Implement and productionise ML-based services using Sagemaker Collaborate with Data Scientists to design and implement LLM-based inference workflows Utilize IaC and CI/CD best practices to … deployment of LLM-based systems, ensuring efficient and scalable solutions that meet our business needs. Your skills and qualifications: 5+ years of experience in Machine Learning Engineering, Data Engineering, or a related field Proficiency in production-level Python (Clean, SOLID) and industry experience with Amazon Sagemaker deployment of more »

the aggregate. You will be responsible for analysing aggregate data across all historic studies, to uncover industry-leading insights through thoughtful data investigations and machine learning algorithms. Our roadmap is ambitious and far-reaching, but manageable. You will be working on projects that you can be proud of … and will have a significant and meaningful impact in the business. ABOUT YOU: We are looking for a hands-on and proactive senior machine learning engineer with a focus on traditional algorithms and an appetite to explore more modern integrations. You will be comfortable taking ownership of projects … expectations. WHY JOIN: You’ll be at the forefront of innovation shaping a fast-growing industry 🔥 Salary of £80,000 - £105,000 💸 The best machine to do your work: a spec’d-out Macbook Pro 💻 Share options so you benefit from our success 🚀 28 days paid holiday plus bank more »

global capability to assess open web news sites on the adversariality of their content. We are doing this using a combination of cutting edge machine learning and human review by intelligence analysts. Our goal over the next 3-5 years is to scale up the technology and intelligence … with teams of data scientists, engineers and product managers. Great people manager: Leadership roles requiring the management of significant teams from different technical disciplines. Machine learning expert: An aptitude for technology innovation, especially in advanced machine learning fields. Experience with Natural Language Processing (NLP), especially large more »

descriptionSenior Data Scientist - 1x/month in London - up to GBP80kNFI08082023SF-7_1691513874Are you an enthusiastic Data Scientist who is looking to work with Machine Learning projects?My client are a … start-up software company who are looking to change all digital interactions. Due to growing, we are looking to hire a Data Scientist/ML Engineer with experience in Python,(Numpy/Scikit - learn), ML/Azure ML, SQL and ideally you would have a research and development background. Within … this role, you will work closely with Software Engineers, execute R&D programme to develop ML components through their platform, document your findings, advise the product engineering teams and characterise and optimise candidate technologies.Minimum qualifications required: * Strong experience with SQL/Python * Understanding of Machine Learning, Azure ML more »

one of the most innovative companies in the LegalTech space providing advanced and market-leading intelligence services. Significantly, the organisation has invested in an ML/NLP-driven solution to automate this process, allowing them to work at a significant scale. Despite the company's global client base and reach … utilise cutting-edge LLMs within an NLP context. Responsibilities Helping to define and implement NLP-led projects within the core Product. Work with the ML Engineering team to help productionise and scale the algorithms. Mentor junior team members Requirements Strong academic background in a relevant field (Statistics, Computer Science, etc. … Deep Learning & Machine Learning knowledge. Usage of LLMs in a commercial environment is a bonus. PyTorch experience a major bonus – other ML frameworks are also accepted. Docker & Kubernetes experience is a bonus. If this role interests you and you would like to find out more, please apply more »

is both highly realistic and highly descriptive. Our approach to simulation brings together a combination of classical simulation techniques with cutting edge developments in machine learning to represent the real world in high fidelity at scale.You’ll be managing a multi disciplinary team and working closely with other … leaders from across robotics, machine learning development and data to ensure the quality and efficiency of the simulator and deliver an effective evaluation and development platform.Challenges you will own: Help define and drive simulation roadmap to deliver on company goals and prioritiesLead technical discussions and guide technical direction … and grow their careers.Good foundational coding knowledge and experience.DesirablePrior experience working with simulation platformsExperience building systems in Python and/or C++Solid understanding of machine learning fundamentalsWhat we offer you:The chance to be part of a truly mission driven organisation and an opportunity to shape the future more »

a leading Marketing Consultancy on a Senior Data Scientist role. You will be working with an established team of Data Scientists on commercially driven Machine Learning models. ROLE: Work closely with a team of Data Scientists to design and build Machine Learning models around Pricing, Propensity … on ROI and added value. Work closely with the Engineering team and business leaders to define project scope and requirements REQUIREMENTS: Proven background in Machine Learning, specifically in the modelling techniques mentioned above. Experience in customer driven modelling with clear evidence of commercial impact and value. Strong communication more »

Model Specialist London (Hybrid) Up to £105k basic + Excellent Bonus & Benefits About Us: My client is at the forefront of artificial intelligence and machine learning technologies with a team of passionate and highly skilled individuals dedicated to pushing the boundaries of what is possible with AI. Job … and deploy prompts to elicit optimal responses from LLMs. Responsibilities: Develop, test, and deploy state-of-the-art language models. Collaborate with data engineers, ML engineers, and researchers to optimize language models' performance, scalability, and robustness. Design, develop, test, and deploy prompts to optimize LLMs functioning. Create business-facing experiences … cross-functional teams to deliver features in an iterative manner. Develop automated processes for predictive model validation, deployment, and implementation. Influence the AI/ML stack like Feature Stores, Model Stores, and automated MLOps to maximize value from LLMs. Connect and collaborate with subject matter experts in different business areas. more »

fast growth Fintech company Looking to add to their Data Science team. This is a great opportunity for somebody who is keen to drive machine learning endeavours and influence the trajectory of data-driven approaches. Job Responsibilities/Outline of job Lead the development, enhancement, and maintenance of … cutting-edge machine learning models to address business challenges and opportunities. Collaborate with cross-functional teams to identify and prioritize data science projects that align with company goals and objectives. Utilize advanced statistical techniques and machine learning algorithms to extract meaningful insights from large and complex … looking for: Proficiency in programming languages and tools such as Python, R, Snowflake, dbt Experienced in mentoring & developing teams Strong understanding of statistical concepts, ML Ops tools, algorithms, and techniques, with practical experience in applying them to real-world problems If you are interested in this opportunity please apply or more »

are seeking a Senior Pricing Analyst to join their London-based team on a full time basis. The ideal candidate will possess expertise in machine learning, data science, and actuarial principles, particularly in motor and insurance claims analysis . This role will play a crucial part in shaping … the company's strategic direction by providing data-driven insights and recommendations to refine insurance products. Key Responsibilities: Develop and implement pricing models using machine learning and statistical analysis. Conduct data analysis to identify trends, anomalies, and optimization opportunities. Integrate actuarial methods into pricing strategies in collaboration with … Data Science, Statistics, Actuarial Science, Mathematics, or a related field. Proven experience in a pricing analyst role, preferably within the insurance sector. Proficiency in machine learning tools (e.g., Python, R, SQL) and familiarity with actuarial principles. Strong analytical, problem-solving, and communication skills. Ability to work independently and more »

disruptive software technology firm in London. Offering excellent training, career progression and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. This is an ideal time to join this growing organisation and be guided by some of the brightest minds in … daily basis, you will be working closely with the sales team to deliver Proof of Concepts and assist with live customer projects for a machine-learning platform. Location: Central London– 3 days in office/2 days remote Salary: £30,000 – £32,000 + healthcare, pension etc. Requirements … industry-leading software company who have a fantastic track record of successfully hiring and training graduates An exciting opportunity to support projects on a machine-learning platform A good remuneration and benefits package Applications If you have top academics and would like to apply, we would love to more »

Databases, Cosmos DB, Redis, and Elasticsearch for efficient data storage and retrieval. Demonstrate proficiency in programming languages including Python, Spark, Databricks, Pyspark, SQL, and ML Algorithms. Implement Machine Learning models and algorithms using Pyspark, Scikit Learn, and other relevant tools. Manage Azure DevOps, CI/CD pipelines, GitHub … and Kubernetes (AKS) for efficient software development and deployment. Implement ML/OPS solutions using Azure ML, Databricks MLFlow, and LLMOps for streamlined Machine Learning operations. Ensure data governance and data cataloging standards are maintained, utilizing tools such as Collibra and Talend Data Catalogue. Collaborate with stakeholders to … Data Lake, Azure Data Factory, Microservices architecture. Experience with Vector Databases, Cosmos DB, Redis, Elasticsearch. Strong programming skills in Python, Spark, Databricks, Pyspark, SQL, ML Algorithms, Gen AI. Knowledge of Azure DevOps, CI/CD pipelines, GitHub, Kubernetes (AKS). Experience with ML/OPS tools such as Azure ML more »

services is a central pillar in the digital transformation program. The data pipelines and models that you will develop will underpin all Business Intelligence, Machine Learning and CRM capabilities. The role holder must ensure that the data is well-managed and ready for consumption by the business, which … will be varied, e.g. building a new reporting data warehouse, creating a single view of the customer, measuring, and improving data quality, and developing machine learning pipelines. Key Accountabilities Demonstrate our culture and values to our colleagues, customers, and partners so that our values are powered by every … level of proficiency in SQL and Python . A good level of experience of Data modelling and BI solutions is also required. Experience of Machine Learning Engineering and CRM are also highly desirable. High coding standards and experience of Dev Ops/MLOps, Azure, Synapse, Snowflake and Databricks. more »

some of the largest insurers in the world to assess over £150bn reserves. Some of the things they have done so far include: Using machine learning to automatically identify and highlight trends in insurers’ data and deploying this to production using Azure Analysis to assess the impact of … necessary, these projects would be across pricing, reserving, capital and claims Training more junior members of the team in Python and applying statistical and machine learning techniques to solve business problems effectively Planning and executing work in reasonable timescales to stipulated or agreed deadlines Checking work you have … using Pandas in Python. Experience using R and R’sTidyverse packages would be beneficial but is not essential Track record of applying statistical and machine learning techniques to solve business problems for non-life insurers Experience working in a controlled coding environment, including using version control and a more »

working as a Customer Support Engineer. Offering excellent training, career progression, and prospects, this is a unique opportunity to work for a rapidly expanding machine learning software house. On a daily basis, you will be working as the first response to customer issues, triaging problems, and liaising with … a team Great communication skills with fluent spoken and written English Responsibilities for Customer Support Engineer You will initially be fully trained on the machine learning platform to understand the intricacies of the product You will then act as the main point of contact and liaise with customers … the job-board, full details for contact are available on our website). Keywords: Technical Support, Product Support, Customer, Client, Requirement gathering, Project management, machine-learning, Information Technology, Technical Support Specialist, Software Support Engineer, Customer Support Engineer, Application Support Analyst, Help Desk Engineer, IT Support Engineer, Systems Support more »

you will be tasked with leading a high-performing TA team who are looking to engage with the top percentile of Computer Vision Scientists, Machine Learning Engineers, Research and Software Engineers. We recognise how challenging this current job market is for candidates, and Hawkwood are therefore striving to … advising and guiding salary and total comp packages. What we're looking for: Strong track record of hiring the top percentile of Research Science, Machine Learning, Software Engineering and Product talent at all levels. Experience working within a deeply technical environment (Computer Vision Scientists, Machine Learning more »

Liquidity Group operates globally with offices in Tel-Aviv, Abu Dhabi, New York, London, Singapore, Tokyo, Mumbai, Boston & San Francisco. The firm’s patented machine learning and decision science technology enables it to deploy more capital through more deals faster than any firm in capital markets history, establishing … leading end-to-end deal cycles, while gaining exposure to a variety of different products and client verticals. As a Director, you'll spearhead machine-learning-assisted growth funding initiatives within our globally expanding team. The position offers oversight of the entire deal cycle, providing exposure to diverse … to raise capital, you’ll be enabling tech companies to fulfill their growth potential. You will: Lead the end-to-end deal cycle, leveraging machine-learning tools to drive efficient and effective growth funding solutions Structure deals and negotiate potential transactions Prepare investment reports and deliver presentations to more »