7 jobs found

Job Title: Speech ML Research Contractor Location: Remote (UK) Type: 3-6 Month Contract (Full-Time or Part-Time: 20 hrs/wk for PhD students) Role Overview Join an advanced speech research team conducting exploratory, hypothesis-driven research in text-to-speech (TTS), automatic speech recognition (ASR), and generative audio models. Open to current PhD candidates (flexible 20 hrs/week) or recent PhD/MSc graduates (full-time). What You'll Do Research and build models for TTS, ASR, voice conversion, and audio generation. Experiment with modern generative architectures: Transformers, Diffusion, Flow Matching, GANs, VAEs, and Neural Audio Codecs . Clean, analyze, and evaluate real-world audio datasets at scale. Collaborate with research scientists with opportunities to publish at top-tier ML venues. Requirements Education: Currently enrolled in or recent graduate (within 1 yr) of a PhD or MSc in ML, Signal Processing, or CS. Core Stack: Hands-on experience with PyTorch and handling complex data pipelines. ML Depth: Strong theoretical grasp of generative modeling (Diffusion, Flow Matching, Codecs). Skills: Independent, curious, and comfortable with open-ended research problems. Randstad Technologies is acting as an Employment Business in relation to this vacancy.

As a Data Scientist within the Analytics Team, you will contribute to data-driven strategies for our clients. Working closely with the Data & Analytics Manager and senior colleagues, you will deliver data science projects and collaborate with stakeholders across data strategy, sales, account management, delivery and marketing. You will bring solid technical skills and commercial awareness to deliver data solutions that drive measurable operational performance. This is a hands-on role - ideal for someone who thrives on translating data into actionable insight and producing high-quality outcomes. Responsibilities Deliver data science projects, from problem definition through to actionable insights and presentation of results Develop and apply predictive modelling, supervised and unsupervised machine learning techniques to optimise client operations and business outcomes Build and maintain data pipelines, ensuring data quality, consistency, and integrity across multiple sources and formats Translate complex analyses into clear, commercially relevant recommendations for clients and internal stakeholders Work with client teams to identify analytical opportunities, support marketing strategy, and quantify the impact of data-driven decision-making Support pre-sales and client engagement, helping to demonstrate the value of data insight Follow best practices in data science, reproducible research, and ethical AI Collaborate cross-functionally to enhance the company's products and marketing data solutions What Success Looks Like in the Role Delivery of impactful, high-quality analytics that directly inform and improve client marketing outcomes Building trust and credibility with clients as an analytical consultant Regular iteration on our machine learning methodologies, tools, and frameworks Consistent demonstration of technical excellence and commercial insight in all project deliverables Measurable contribution to the enhancement of Sagacity's data science and analytics product suite Competencies and Experience 2+ years' experience in data science, analytics, or statistical modelling, ideally with commercial experience within the Telecoms, Banking or Utilities industries; or within a data-related consultancy Educated to degree level (postgraduate preferred) in a quantitative discipline such as Computer Science, Statistics, Mathematics, Economics, or similar Working knowledge of statistical and machine learning methods (e.g. logistic regression, gradient boosting, random forests, clustering, NLP Proficient in Python and/or R, with strong experience in data quality, model development and feature engineering Strong command of SQL and familiarity with data engineering environments such as Databricks or similar Skilled in data visualisation and storytelling using tools such as Power BI, Tableau, Plotly, or Sigma Demonstrated ability to translate technical findings into strategic recommendations for non-technical audiences Commercially aware, with proven success in applying analytics to solve business problems Strong communicator; able to engage stakeholders and present findings with clarity and confidence Self-motivated, organised, and proactive, with the ability to manage multiple priorities and stakeholders in a fast-paced environment Willing to travel across the UK for client engagements Must have the right to work in the UK and a commitment to ongoing professional development

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. We are now entering a new and strategically significant phase of growth, characterised by the expansion of our systems to incorporate Land Border Surveillance Systems. Our new Sovereign Territory Surveillance (STS) Systems will play a crucial role in enhancing civil defence security through the deployment of advanced automated security infrastructures. Utilised by nations worldwide, these technologies facilitate the monitoring of sovereign land borders, thereby strengthening border integrity and national security. SRT's vision is to make innovative use of publicly available data, augmenting it with proprietary data as a differentiator in the Maritime Domain Awareness market. SRT see Data Science and Machine Learning as an essential component to achieving this goal. About the role of Data Scientist (Sovereign Territory Surveillance) here at SRT. The role of Data Scientist role is based from our Bristol office and aligned with our Hybrid working policy. You as a Data Scientist will be part of a data-orientated team responsible for research and delivery. The team believes in the importance of collaboration to achieve its goals, and values open, honest and timely feedback. You will be encouraged to bring your knowledge, experience, ideas and perspective to help achieve solve the challenges put to you. Responsibilities - Data Scientist - not exhaustive: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate model outputs into user-facing features. Work with infrastructure and edge-based engineers within SRT to build scalable pipelines for ingesting, processing, annotating, and managing large volumes of maritime data (e.g. AIS and vessel video footage). Contribute to feature development in areas such as alert generation and visualisation. Methodically apply best practices to document model performance, testing procedures, and experiment outcomes, while tracking datasets and model versions. Requirements - Data Scientist - not exhaustive: Essential: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate model outputs into user-facing features. Work with infrastructure and edge-based engineers within SRT to build scalable pipelines for ingesting, processing, annotating, and managing large volumes of maritime data (e.g. AIS and vessel video footage). Contribute to feature development in areas such as alert generation and visualisation. Methodically apply best practices to document model performance, testing procedures, and experiment outcomes, while tracking datasets and model versions. Desirable: Experience fine-tuning, extending, and evaluating modern video or radar-based detection and tracking models, including appropriate performance metrics. Experience creating, managing, and interrogating graph databases (e.g., Neo4j). Experience with maritime, aerial, or other remote-sensing imagery. Exposure to MLOps tools (MLflow, Weights & Biases, Ray etc.) Experience deploying systems with containerisation, both on premises and in the cloud (e.g. using Docker and AWS ECS/ECR), and their ongoing maintenance/support. Experience of CI/CD within a machine learning / data science environment. Benefits Highly Competitive Salary and benefits package 25 days annual leave rising to 28 days with service Real individual development opportunities SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. We are now entering a new and strategically significant phase of growth, characterised by the expansion of our systems to incorporate Land Border Surveillance Systems. Our new Sovereign Territory Surveillance (STS) Systems will play a crucial role in enhancing civil defence security through the deployment of advanced automated security infrastructures. Utilised by nations worldwide, these technologies facilitate the monitoring of sovereign land borders, thereby strengthening border integrity and national security. SRT's vision is to make innovative use of publicly available data, augmenting it with proprietary data as a differentiator in the Maritime Domain Awareness market. SRT see Data Science and Machine Learning as an essential component to achieving this goal. About the role of Data Scientist (Sovereign Territory Surveillance) here at SRT. The role of Data Scientist role is based from our Bristol office and aligned with our Hybrid working policy. You as a Data Scientist will be part of a data-orientated team responsible for research and delivery. The team believes in the importance of collaboration to achieve its goals, and values open, honest and timely feedback. You will be encouraged to bring your knowledge, experience, ideas and perspective to help achieve solve the challenges put to you. Responsibilities - Data Scientist - not exhaustive: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate model outputs into user-facing features. Work with infrastructure and edge-based engineers within SRT to build scalable pipelines for ingesting, processing, annotating, and managing large volumes of maritime data (e.g. AIS and vessel video footage). Contribute to feature development in areas such as alert generation and visualisation. Methodically apply best practices to document model performance, testing procedures, and experiment outcomes, while tracking datasets and model versions. Requirements - Data Scientist - not exhaustive: Essential: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate model outputs into user-facing features. Work with infrastructure and edge-based engineers within SRT to build scalable pipelines for ingesting, processing, annotating, and managing large volumes of maritime data (e.g. AIS and vessel video footage). Contribute to feature development in areas such as alert generation and visualisation. Methodically apply best practices to document model performance, testing procedures, and experiment outcomes, while tracking datasets and model versions. Desirable: Experience fine-tuning, extending, and evaluating modern video or radar-based detection and tracking models, including appropriate performance metrics. Experience creating, managing, and interrogating graph databases (e.g., Neo4j). Experience with maritime, aerial, or other remote-sensing imagery. Exposure to MLOps tools (MLflow, Weights & Biases, Ray etc.) Experience deploying systems with containerisation, both on premises and in the cloud (e.g. using Docker and AWS ECS/ECR), and their ongoing maintenance/support. Experience of CI/CD within a machine learning / data science environment. Benefits Highly Competitive Salary and benefits package 25 days annual leave rising to 28 days with service Real individual development opportunities SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.

SRT Marine Systems plc (SRT) is a market leader in the domain of international marine surveillance technology and systems. We are a respected, established, and an ambitious multi-national company headquartered in the UK with a global customer base. The company has a worldwide impact in the marine sector by leading the next generation of maritime domain awareness technologies "MDA", products, and systems that significantly enhance security, safety, environmental protection, and sustainability. Our customers are global and range from the largest national coast guards to individual vessel owners. We are now entering a new and strategically significant phase of growth, characterised by the expansion of our systems to incorporate Land Border Surveillance Systems. Our new Sovereign Territory Surveillance (STS) Systems will play a crucial role in enhancing civil defence security through the deployment of advanced automated security infrastructures. Utilised by nations worldwide, these technologies facilitate the monitoring of sovereign land borders, thereby strengthening border integrity and national security. SRT's vision is to make innovative use of publicly available data, augmenting it with proprietary data as a differentiator in the Maritime Domain Awareness market. SRT see Data Science and Machine Learning as an essential component to achieving this goal. About the role of Data Scientist (Sovereign Territory Surveillance) here at SRT. The role of Data Scientist role is based from our Bristol office and aligned with our Hybrid working policy. You as a Data Scientist will be part of a data-orientated team responsible for research and delivery. The team believes in the importance of collaboration to achieve its goals, and values open, honest and timely feedback. You will be encouraged to bring your knowledge, experience, ideas and perspective to help achieve solve the challenges put to you. Responsibilities - Data Scientist - not exhaustive: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate model outputs into user-facing features. Work with infrastructure and edge-based engineers within SRT to build scalable pipelines for ingesting, processing, annotating, and managing large volumes of maritime data (e.g. AIS and vessel video footage). Contribute to feature development in areas such as alert generation and visualisation. Methodically apply best practices to document model performance, testing procedures, and experiment outcomes, while tracking datasets and model versions. Requirements - Data Scientist - not exhaustive: Essential: Solve maritime and security-based problems such as detection and classification for time series and image/video data streams. Develop and evaluate ML models for behaviour classification, anomaly detection, and track pattern recognition within geospatial data. Research, prototype, extend, and optimise suitable vision and time-series models for these problems. Collaborate with developers to integrate model outputs into user-facing features. Work with infrastructure and edge-based engineers within SRT to build scalable pipelines for ingesting, processing, annotating, and managing large volumes of maritime data (e.g. AIS and vessel video footage). Contribute to feature development in areas such as alert generation and visualisation. Methodically apply best practices to document model performance, testing procedures, and experiment outcomes, while tracking datasets and model versions. Desirable: Experience fine-tuning, extending, and evaluating modern video or radar-based detection and tracking models, including appropriate performance metrics. Experience creating, managing, and interrogating graph databases (e.g., Neo4j). Experience with maritime, aerial, or other remote-sensing imagery. Exposure to MLOps tools (MLflow, Weights & Biases, Ray etc.) Experience deploying systems with containerisation, both on premises and in the cloud (e.g. using Docker and AWS ECS/ECR), and their ongoing maintenance/support. Experience of CI/CD within a machine learning / data science environment. Benefits Highly Competitive Salary and benefits package 25 days annual leave rising to 28 days with service Real individual development opportunities SRT Marine Systems plc is an equal opportunity employer. We are committed to creating an inclusive environment for all employees and welcome applications from all backgrounds.

Adword Job title: Junior Data Scientist Contract: 12 months contract Location: Desford UK- Onsite Job description: We are seeking a motivated and curious Junior Data Scientist to join our dynamic Purchasing team. In this role, you will help research, develop, and deliver analytical solutions that empower our department to make data-driven procurement decisions. This is an excellent opportunity for an emerging data professional to grow their technical skills while making a tangible impact on continuous improvement and facility operations. What You Will Do Design, build, and maintain visually insightful live dashboards and reports using Power BI. Extract, clean, and analyze datasets from internal systems using SQL, EDFL, and Power Query. Utilize DAX formulas within Power BI to enhance data measurement and meet team requirements. Create and format secure data structures using SharePoint, Snowflake, and PowerApps. Collaborate with cross-functional team members to translate business needs into effective data solutions. Document processes and help train non-technical stakeholders on using new data tools. What You Will Have Degree in Computer Science, Data Science, Mathematics, or a related field. Foundational proficiency in programming languages such as SQL, and Python or R. Hands-on experience or strong familiarity with data visualization tools (Power BI, Tableau) and Microsoft Office/PowerApps. Exceptional attention to detail and strong problem-solving abilities. Clear communication skills with the ability to present technical findings to non-technical audiences. A portfolio of academic or personal data science projects, or prior internship experience in a similar role, is highly advantageous. If you are interested then kindly submit your resume at Prasanna com Randstad Technologies is acting as an Employment Business in relation to this vacancy.