them Create and implement data architecture design and data modelling coupled with focus on data visualisation, AI (Artificial Intelligence) and MachineLearning (ML) Shape and define data strategies and understand specifications of data integration and data migration approaches Work within a project management and agile delivery methodology environment more »
development of best practices and standards for data engineering within the organization. Developing and implementing data models and algorithms to support data science and machinelearning initiatives . Technical Requirements Proven track record leading complex ETL and Data Infrastructure projects, as well as designing and building data intensive … of data structures and algorithms Familiarity with Unix systems, common command line tools e.g., grep, awk and source control tools e.g., git Familiarity with MachineLearning and Statistics a plus Excellent problem-solving and analytical skills. Experience working in an Agile development environment. Our Amazing Benefits Hybrid/… Healthcare for you - talk to us about adding your family Discounts on various retail stores, gyms memberships and a bike scheme Access to LinkedIn Learning Peer to peer recognition…and much, much more! About Us 4.8 rating on Glassdoor! Excellent employee retention We have a culture deeply engaged in more »
Greater London, England, United Kingdom Hybrid / WFH Options
Burns Sheehan
classified. You will be surrounded by some of the smartest technologists in the UK and have access to the latest tooling and methodologies across machinelearning, software engineering & cloud. What you'll bring with you: we are looking for intelligent, creative problem solvers with broad exposure to cloud … machinelearning and software development. Experience with Python & AWS/Azure is a solid baseline. You will also be a pragmatist and ideally have a 'consultant' mentality. You will be interacting with end-users and clients on a regular basis. Working patterns: this is a hybrid role with more »
demographic reach and frequency estimates for highly granular and accurate viewing insight, without the limitations of panel sizes. Job Role Requirements Design and refine machinelearning and statistical models to improve their performance and adaptability. Develop prototypes of statistical and machinelearning models in Python, ensuring more »
performance and detect data drift. Collaborate closely with stakeholders from different functions to understand their requirements and provide appropriate solutions. Actively seek opportunities where machinelearning solutions can have a significant impact on business outcomes. Communicate findings and insights effectively to technical and non-technical stakeholders. REQUIREMENTS: A … or related field. Advanced knowledge of SQL and Python, including popular Data Science packages such as pandas, matplotlib, seaborn, numpy, and sklearn. Familiarity with machinelearning algorithms and techniques, with a deep understanding of their underlying principles. Strong problem-solving skills and meticulous attention to detail. Excellent communication more »
Enhancing and managing the cloud-based Data Warehouse (Azure, Snowflake) Designing, building and deploying data pipelines to support advanced analytics and the development of MachineLearning algorithms and Generative AI (GenAi) applications Providing technology thought leadership and supporting the business in adoption of MachineLearning and more »
with experience within new business/prospecting - Please only aply if you have demonstrable experience in these areas. Responsibilities: Utilise advanced data analytics and machinelearning techniques to identify high-value prospects and generate leads in the payments industry. Design and implement propensity models to predict potential client … development in the finance or payments sector. Strong proficiency in SQL and experience with data preparation, cleaning, and manipulation. Expertise in building and deploying machinelearning models, especially related to customer behaviour, segmentation, and propensity analysis. Excellent analytical and problem-solving abilities, with a track record of translating more »
are looking for an innovative, dynamic, entrepreneurial, strategic leader with a wide array of technical expertise including data science, epidemiology, drug development, AI and machinelearning as well as an in depth understanding of the pharmaceutical industry, regulatory strategy and evidence generation. What will you be doing in … scientists to leverage RWD for development of innovative approaches to support data-driven decision support and evidence.Drive the development of advanced methods such as machinelearning and AI algorithms to extract meaningful insights from complex healthcare data.Develop strong relationships with internal and external RWE ecosystem partners to allow more »
and response to operational risk events as well as be given the opportunity to work with innovative technologies such as Spring Boot, React.js, create MachineLearning models in python and so much more.How will you make an impact in this role?Collaboration with key business partners to help … Stack, Kafka, Hive, Spark, UNIX/Linux and Oracle DBExperience with a statistical programming language (Python or R) and experience with libraries specifically for MachineLearning or Data Analytics as well as knowledge on Hadoop/MapReduce is a plus. Hands-on experience building and delivering large scale more »
support for our many collaborations with academics from King's College London, and several NHS Trusts. Finally, the GIU is making strides into using machinelearning for genomic applications, for which we have access to in-house and HPC GPUs. There is room within this role to pursue … cutting-edge projects applying deep learning to genomic and proteomic data. Main duties of the job The GIU develops novel genomic diagnostic tests, and in the process innovates new experimental approaches. Since the experimental workflows are customised for each project, the computational workflows also have to be tailored to … support for our many collaborations with academics from King's College London, and several NHS Trusts. Finally, the GIU is making strides into using machinelearning for genomic applications, for which we have access to in-house and HPC GPUs. There is room within this role to pursue more »
large and complex datasets: assessing quality, cleansing, structuring for downstream processing Design accurate and scalable prediction algorithms Develop, implement, and maintain predictive models Utilise machinelearning algorithms to improve product recommendations and marketing strategies. Collaborate with IT and data engineering teams to ensure seamless data flow and infrastructure … support. Generate actionable insights for business improvements Key Skills: Proficient in Excel is absolutely essential here Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms Previous experience of working on AI focused projects Fluency in a programming language (Python, C,C++, Java, SQL) Familiarity more »
our clients over a consistent period, the team are keen to find another great Recruiter to continue our position as a leader of the MachineLearning, AI & Data Engineering Recruitment space. Data Science and MachineLearning Recruitment at Xcede Data Science has long been a flagship more »
City Of London, England, United Kingdom Hybrid / WFH Options
RJC Group
I'm currently working with an energy trading client who is looking to continue scaling their team and are currently searching for a MachineLearning Engineer and will consider individuals from a Python Engineering or Data Science background. Based in Central London, this company offers hybrid working with more »
Data Scientist A leading Tech & Data company are looking for a Data Scientist with strong AI/ML experience to develop new applications of data science and AI across the business. You will enhance customer propositions using a variety of machinelearning methods. This is a permanent role … a data science framework/solution (eg with Marketing, Product, UX/CX) Manage the scoping and delivery of data science projects Partner with ML Engineers to ensure that all models are put into production and deliver clear impact to the business Communicate technical outputs and results to non-technical … Experience required: A passion and motivation for using Data Science to solve real world customer problems Demonstratable experience in end-to-end AI/machinelearning model development Proficiency in Python & SQL Outcome focused more »
being knowledgeable of industry-specific solutionsA previous history of creating insights from large data models (called Calculated Insights at Salesforce) or other AI/MachineLearning predictionsA working knowledge of and passion to develop skills across SQL, MachineLearning or AI technologiesCoding experience in object-oriented more »
and that partners with huge brands! They are looking for a Behavioural Data Scientist to join their team, working on high-impact, commercially driven machinelearning models Responsibilities: Working closely within a team, to design and build models across NLP, clustering and regression You will collaborate closely with … facing experience How to apply: Register your interest by sending your CV to Emily Burgess via the Apply link on this page. Keywords: Forecasting, MachineLearning, Data Science, Data Scientist, Consultancy, Churn, Propensity more »
Government Bonds, Swaps, and Futures, and we're assembling a team to redefine their approach to the financial markets through advanced quantitative research and machine learning. The Role: As a Quant Researcher for Systematic Fixed Income RV strategies you will join at ground zero of a newly forming trading … for excellence and setting new benchmarks in systematic fixed income trading. Essential Qualifications: Masters or PhD Degree in mathematical computer science, statistics, quant finance, machinelearning, or a related field Solid grounding in financial mathematics, quantitative modeling, and programming languages (Python, C++). Exceptional analytical and problem-solving … swaps/bonds/futures ) in systematic fixed income market required. Would be an added benefit to have exposure to non-traditional modeling techniques ("machinelearning"). Knowledge of curve analytics is a plus. What's In It For You? This is particularly attractive role for quants who more »
trends, and correlations within the data to uncover actionable insights. Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. Implement machinelearning techniques to segment customers and personalise marketing strategies. Collaborate with cross-functional teams to enhance CRM strategies based on data-driven insights. … and demographic data. Provide actionable recommendations to improve customer engagement, satisfaction, and loyalty. Requirements 1-3 years experience in data analysis, statistical modelling, and machinelearning techniques. Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling e.g. Alteryx, Microsoft Azure. Strong programming skills more »
will:You will solve multiple of computer vision related problems end to end and integrate solutions into our cloud processing pipeline.You will identify appropriate machinelearning models through research, such as reviewing academic papers and adapting them for our use.Drive the development of the cutting-edge 3D AI … pipeline, leveraging the latest breakthroughs in 3D data processing, 3D vision, and machinelearning techniques. This entails system design and comprehensive testing.Identify and address bottlenecks in data, pipeline, and operations, proactively devising and implementing agile solutions to enhance scalability and optimize performance.Take ownership of project management for AI … extensive experience with Computer Vision models, particularly in the context of SLAM.Demonstrate proficiency in analyzing 3D Video and performing 3D reconstruction.Technical expertise: Python, Deep Learning frameworks (PyTorch or TensorFlow), AWS.SALARY AND BENEFITSCompetitive salary range: 65,000-90,000.Equity ownership in the company.Comprehensive benefits package.HOW TO APPLYPlease register your interest more »
the data to uncover actionable insights. Model Development and Deployment • Develop predictive models and algorithms to forecast customer behaviour, preferences, next best action. • Implement machinelearning techniques to segment customers and personalize marketing strategies. • Deploy models into production systems to drive real-time decision-making processes. CRM and … engagement, satisfaction, and loyalty. • Continuously monitor market trends and competitor activities to identify opportunities for innovation. Skills • Experience in data analysis, statistical modelling, and machinelearning techniques. • Proficiency in using Dataiku or similar data science platforms for data manipulation and modelling. • Strong programming skills in languages such as more »
London, England, United Kingdom Hybrid / WFH Options
Client Server
will build Edge-computing and IoT applications for processing vision data and communication layers for the compute-constrained edge devices. You'll be deploying MachineLearning models to production and optimising the platform runtime performance, this is mainly in C++ with parts running on GPU. There's a … Patterns You have advanced level C++ skills (they're using C++20) including multithreading You have also have strong Python skills and experience of integrating MachineLearning models (using PyTorch) It would be advantageous to have experience with Edge/IoT computing You're keen to work in s more »
client needs. Lead the design, development, and deployment of data management frameworks, policies, and best practices. Oversee the integration of data analytics, AI, and machinelearning into client solutions. Collaborate with cross-functional teams to drive data innovation and identify new business opportunities. Ensure data governance, compliance, and … experience in data science, analytics, and/or business consulting. Strong understanding of data management principles, data governance, and regulatory requirements. Expertise in AI, machinelearning, and advanced analytics. Excellent strategic thinking, problem-solving, and decision-making skills. Strong leadership and team-building abilities. Exceptional communication and interpersonal more »
We’re looking for a Senior Data Scientist who brings with them a wealth of experience in Data Science with a strong background in MachineLearning experience and Data Engineering. The client are working on a number of large projects that could easily take this position past the … me! Experience needed for this position (Please read carefully) Senior Data Scientist with over 5+ years of experience Python experience SQL experience AWS experience MachineLearning experience Predictive Modelling Clear and concise communication skills Senior Data Scientist Duration: 3-months Start: ASAP Day Rate: £550 Inside IR35 (FCSA more »
had sustained success and have committed significant resource to build their acclaimed quant and tech team. The business blend discretionary and systematic approaches, including machinelearning, so they are looking for a developer who has experience working large data sets in (ideally) systematic trading environments. This would suit … currently building and developing a new core trading system, working directly with the quant and portfolio management teams to build trading tools and applying machinelearning technology and approaches throughout the investment process. The role will involve working directly with quant analysts to develop software and tools to more »
in both Pre & Post sales. The team you’d lead are made up of PhD level Engineers who most work in Python to deploy MachineLearning Models. (They also work with Scala & react.js) This team will double over next 12 months. Mid term career progression could see you … lead relationships with commercial stakeholders up to C-Level, distilling the complex into simple business language Knowledge to provide thought leadership in the Cloud & MachineLearning space Although this will be still a fairly heavy hands on element to this role initially, as the team grows and responsibility more »