it job board logo
  • Home
  • Find IT Jobs
  • Register CV
  • Career Advice
  • Contact us
  • Employers
    • Register as Employer
    • Pricing Plans
  • Recruiting? Post a job
  • Sign in
  • Sign up
  • Home
  • Find IT Jobs
  • Register CV
  • Career Advice
  • Contact us
  • Employers
    • Register as Employer
    • Pricing Plans
Sorry, that job is no longer available. Here are some results that may be similar to the job you were looking for.

2 jobs found

Email me jobs like this
Refine Search
Current Search
principal machine learning engineer production systems
Principal ML Engineer
Method-Resourcing
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
02/10/2025
Full time
Senior Machine Learning Engineer - Behavioural Modeling & Threat Detection - £150,000 - £180,000 - Fully Remote UK BASED CANDIDATES ONLY My client is looking for an experienced Machine Learning Engineer ready to play a pivotal role in shaping the technical direction of their behavioural modelling and threat detection systems. This position offers the opportunity to influence not just their engineering roadmap, but how they fundamentally approach solving complex, real-world security challenges with data. You'll work at the intersection of data science, ML infrastructure, and product innovation, leading efforts to build and evolve ML-driven capabilities, while also ensuring the reliability and scalability of their models in production environments. What You'll Do Spearhead the design and refinement of machine learning models focused on understanding behaviour patterns and identifying cybersecurity anomalies. Partner with product, engineering, and domain experts to translate strategic goals and customer needs into practical, scalable ML solutions. Drive model development end-to-end, from exploratory analysis, feature design, and prototyping to validation and deployment. Collaborate with platform and infra teams to operationalize models and ship ML-powered features into production. Continuously assess and iterate on production models, balancing long-term ML strategy with tactical improvements. Champion code quality, observability, and resilience within their ML systems through reviews and hands-on contributions. Help shape their internal ML standards and practices, ensuring they stay ahead of industry advancements. Offer technical mentorship and be a thought partner to colleagues across data, ML, and engineering disciplines. What We're Looking For Hands-on experience in developing and deploying machine learning models at scale. Deep familiarity with core ML concepts (classification, time-series, statistical modeling) and their real-world tradeoffs. Fluency in Python and commonly used ML libraries (e.g. pandas, scikit-learn; experience with PyTorch or TensorFlow is a plus). Experience with model lifecycle management (MLOps), including monitoring, retraining, and model versioning. Ability to work across data infrastructure, from SQL to large-scale distributed data tools (Spark, etc.). Strong written and verbal communication skills, especially in cross-functional contexts. Bonus Experience (Nice to Have) Exposure to large language models (LLMs) or foundational model adaptation. Previous work in cybersecurity, anomaly detection, or behavioural analytics. Familiarity with orchestration frameworks (Airflow or similar). Experience with scalable ML systems, pipelines, or real-time data processing. Advanced degree or equivalent experience in ML/AI research or applied science. Cloud platform proficiency (AWS, GCP, Azure). If this sounds like something you would be interested in, please apply with your latest CV, a number to reach you on and I will be in touch. Alternatively, you can email me at . RSG Plc is acting as an Employment Agency in relation to this vacancy.
BBC
Principal Data Engineer
BBC
Job Introduction Are you looking for a role that builds on your experience with engineering data systems and brings hands-on experience with machine learning? Are you keen to learn, grow, and develop? Do you want to work in a nurturing culture where you can flourish and be your best? Would you like to work on services that are used by key BBC products and millions of people each day? If so, this opportunity could be for you. The Content Publishing team's mission is to build unrivalled fully-accessible tools to enable journalists across the globe to create, curate and describe the world's best journalism content in over 40 languages. Our team is central to the success of the BBC. We are in the middle of solving some big questions: How do we put tagging at the heart of a personalised BBC? How can we use data to better understand what we make and how we make it, to build a more personalised and engaging experience for our audience? We're figuring out the answers to these questions and more like them, and we're looking for help. If any of these challenges excite you then come and join us. Role Responsibility We are looking for a Principal Data Engineer to lead engineering on projects that use data to improve content creation. Our projects include a machine learning system that suggests tags for pieces of content, and a knowledge graph that helps us connect and better understand the articles and programmes that we produce. We aim to build a world-leading suite of tools that use data to streamline the creation of relevant and personalised content. Our data engineers ensure the efficient running of pipelines that ingest, process and summarise data, and work closely with data scientists to develop machine learning models and put them into production. You will work in cross-functional teams alongside Product, Editorial, UX, Software Engineers, Data Scientists and other Data Engineers, and will mentor more junior colleagues. We value learning and create a supportive environment for people to follow their interests and develop personally and professionally, through structured training and on-the-job experience. As Principal, you will help to set the technical direction of the team, developing and representing our best practice. You will be a passionate and experienced engineer with a background in either software or data engineering and be keen to enhance your skills in data services and systems. We don't expect you to have experience in all of these but below gives you examples of the technologies and practices we value: •Good communication skills - a great candidate will be able to talk to other developers, to non-developers, and is happy to communicate with people remotely across multiple BBC sites •The ability to question the way we work, and the tools and processes we use - we're always aiming to make our team the best it can be •An enthusiasm for writing clean, well-documented, and testable code •Curious and embraces change - we're always learning new technologies and requirements often change, you'll enjoy this challenge •Goal oriented - you'll enjoy finishing the job by developing the final details Are you the right candidate? You don't need you to be an expert in all these areas, only some of them. If you have a base understanding of the areas and their underlying principles, you will shine. So don't feel that you can't apply if you don't have all these skills. After all, you'll work with, and be mentored by, a friendly development team, and the BBC will provide many opportunities for learning as you progress. We look for experience of: Leading on technical projects Mentoring junior colleagues Communicating with technical and non-technical stakeholders Developing engineering best practice and advocating for it Developing software/data pipelines using Python, Scala, JavaScript or Go Machine learning, especially putting ML models into production Graph databases Cloud computing (preferably AWS) ETL technologies e.g. Apache Airflow Containerisation e.g. Docker / Kubernetes Infrastructure as code e.g. CDK CI/CD e.g. AWS CodePipeline or Jenkins Familiarity with Data Warehousing technologies (such as Redshift/Big Query/Snowflake) Software testing practices including unit testing frameworks Version control systems such as git Package Description Band: D Contract type: Permanent Location: London / Salford / Glasgow We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i
23/09/2022
Full time
Job Introduction Are you looking for a role that builds on your experience with engineering data systems and brings hands-on experience with machine learning? Are you keen to learn, grow, and develop? Do you want to work in a nurturing culture where you can flourish and be your best? Would you like to work on services that are used by key BBC products and millions of people each day? If so, this opportunity could be for you. The Content Publishing team's mission is to build unrivalled fully-accessible tools to enable journalists across the globe to create, curate and describe the world's best journalism content in over 40 languages. Our team is central to the success of the BBC. We are in the middle of solving some big questions: How do we put tagging at the heart of a personalised BBC? How can we use data to better understand what we make and how we make it, to build a more personalised and engaging experience for our audience? We're figuring out the answers to these questions and more like them, and we're looking for help. If any of these challenges excite you then come and join us. Role Responsibility We are looking for a Principal Data Engineer to lead engineering on projects that use data to improve content creation. Our projects include a machine learning system that suggests tags for pieces of content, and a knowledge graph that helps us connect and better understand the articles and programmes that we produce. We aim to build a world-leading suite of tools that use data to streamline the creation of relevant and personalised content. Our data engineers ensure the efficient running of pipelines that ingest, process and summarise data, and work closely with data scientists to develop machine learning models and put them into production. You will work in cross-functional teams alongside Product, Editorial, UX, Software Engineers, Data Scientists and other Data Engineers, and will mentor more junior colleagues. We value learning and create a supportive environment for people to follow their interests and develop personally and professionally, through structured training and on-the-job experience. As Principal, you will help to set the technical direction of the team, developing and representing our best practice. You will be a passionate and experienced engineer with a background in either software or data engineering and be keen to enhance your skills in data services and systems. We don't expect you to have experience in all of these but below gives you examples of the technologies and practices we value: •Good communication skills - a great candidate will be able to talk to other developers, to non-developers, and is happy to communicate with people remotely across multiple BBC sites •The ability to question the way we work, and the tools and processes we use - we're always aiming to make our team the best it can be •An enthusiasm for writing clean, well-documented, and testable code •Curious and embraces change - we're always learning new technologies and requirements often change, you'll enjoy this challenge •Goal oriented - you'll enjoy finishing the job by developing the final details Are you the right candidate? You don't need you to be an expert in all these areas, only some of them. If you have a base understanding of the areas and their underlying principles, you will shine. So don't feel that you can't apply if you don't have all these skills. After all, you'll work with, and be mentored by, a friendly development team, and the BBC will provide many opportunities for learning as you progress. We look for experience of: Leading on technical projects Mentoring junior colleagues Communicating with technical and non-technical stakeholders Developing engineering best practice and advocating for it Developing software/data pipelines using Python, Scala, JavaScript or Go Machine learning, especially putting ML models into production Graph databases Cloud computing (preferably AWS) ETL technologies e.g. Apache Airflow Containerisation e.g. Docker / Kubernetes Infrastructure as code e.g. CDK CI/CD e.g. AWS CodePipeline or Jenkins Familiarity with Data Warehousing technologies (such as Redshift/Big Query/Snowflake) Software testing practices including unit testing frameworks Version control systems such as git Package Description Band: D Contract type: Permanent Location: London / Salford / Glasgow We're happy to discuss flexible working. Please indicate your choice under the flexible working question in the application . There is no obligation to raise this at the application stage but if you wish to do so, you are welcome to. Flexible working will be part of the discussion at offer stage. Excellent career progression - the BBC offers great opportunities for employees to seek new challenges and work in different areas of the organisation. Unrivalled training and development opportunities - our in-house Academy hosts a wide range of internal and external courses and certification. Benefits - We offer a competitive salary package, a flexible 35-hour working week for work-life balance and 26 days (1 of which is a corporation day) with the option to buy an extra 5 days, a defined pension scheme and discounted dental, health care, gym and much more. The situation regarding the coronavirus outbreak is developing quickly and the BBC is keen to continue to ensure the safety and wellbeing of people across the BBC, while continuing to protect our services. To reduce the risk access to BBC buildings is limited to those essential to our broadcast output. From Wednesday 18 th March until further notice all assessments and interviews will be conducted remotely. For more information go to Mae'r sefyllfa gyda'r coronafeirws yn datblygu'n gyflym, ac mae'r BBC yn awyddus i barhau i sicrhau diogelwch a lles pobl ar draws y BBC, gan barhau i warchod ein gwasanaethau hefyd. I leihau'r risg, dim ond y bobl sy'n hanfodol i'n hallbwn darlledu fydd yn cael mynediad i adeiladau'r BBC. O ddydd Mercher 18 fed Mawrth ymlaen, bydd pob asesiad a chyfweliad yn cael ei gynnal o bell, nes rhoddir gwybod yn wahanol. I gael mwy o wybodaeth, ewch i

Modal Window

  • Home
  • Contact
  • About Us
  • FAQs
  • Terms & Conditions
  • Privacy
  • Employer
  • Post a Job
  • Search Resumes
  • Sign in
  • Job Seeker
  • Find Jobs
  • Create Resume
  • Sign in
  • IT blog
  • Facebook
  • Twitter
  • LinkedIn
  • Youtube
© 2008-2026 IT Job Board