Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Dec 23, 2021
Full time
Description
We are looking for a Data Engineer to help us build and maintain scalable and resilient pipelines that will ingest, process, and deliver the data needed for predictive and descriptive analytics. These data pipelines will further connect to machine learning pipelines to facilitate automatic retraining of our models.
We are a diverse group of data scientists, data engineers, software engineers, machine learning engineers from over 30 different countries. We are smart and fast moving, operating in small teams, with freedom for independent work and fast decision making.
To empower scientists and radically improve how science is published, evaluated and disseminated to researchers, innovators and the public, we have built our own state-of-the-art Artificial Intelligence Review Assistant (AIRA), backed by cutting-edge machine learning algorithms.
Key Responsibilities
Work in a team of machine learning engineers responsible for the productization of prototypes developed by data scientists.
Collaborate with data scientists, machine learning engineers, and other data engineers to design scalable, reliable, and maintainable ETL processes that ensure data scientists and automated ML processes have the necessary data available
Research and adopt the best DataOps & MLOps standards to design and develop scalable end-to-end data pipelines.
Identify opportunities for data process automation.
Establish and enforce best practices (e.g. in development, quality assurance, optimization, release, and monitoring).
Requirements
Degree in Computer Science or similar
Proven experience as a Data Engineer
Proficiency in Python
Experience with a Cloud Platform (e.g. Azure, AWS, GCP)
Experience with a workflow engine (e.g. Data Factory, Airflow)
Experience with SQL and NoSQL (e.g. MongoDB) databases
Experience with Hadoop & Spark
Great communication, teamwork, problem-solving, and organizational skills.
Nice To Have
Understanding of supervised and unsupervised machine learning algorithms
Stream-processing frameworks (e.g. Kafka)
Benefits
Competitive salary.
Participation in Frontiers annual bonus scheme
25 leave days + 4 well-being days (pro rata and expiring each year on 31st of December)
Great work-life balance.
Opportunity to work remotely
Fresh fruit, snacks and coffee.
English classes.
Team building/sport activities and monthly social events.
Lots of opportunities to work with exciting technologies and solve challenging problems
Who we are
Frontiers is an award-winning open science platform and leading open access scholarly publisher. We are one of the largest and most cited publishers globally. Our journals span science, health, humanities and social sciences, engineering, and sustainability and we continue to expand into new academic disciplines so more researchers can publish open access.
Senior Machine Learning Engineer - Remote As a Senior Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Senior Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Senior Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. You'll be maintaining and enhancing CI/CD pipelines alongside architecting and managing cloud infrastructure using Terraform We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £75,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
May 04, 2024
Full time
Senior Machine Learning Engineer - Remote As a Senior Machine Learning Engineer do you want to work with a leading provider of customer engagement solutions? As a Senior Machine Learning Engineer you will have the opportunity to join a high-growth organisation providing customised software solutions that accelerates and simplifies the journey of digital transformation. Your role: As a Senior Machine Learning Engineer, your role will be pivotal in designing, developing, testing, maintaining, and supporting software components using Python. You will be leading the development of AI projects taking ownership and driving innovation of development tasks. You'll be maintaining and enhancing CI/CD pipelines alongside architecting and managing cloud infrastructure using Terraform We'd love to see these skills from you: Proficiency in Python Strong NLP experience - NumPy, Pandas etc. Commercial experience leveraging open-source models, finetuning LLMs & RAG pipelines Expertise in learning algorithms, neural networks and ML frameworks (TensorFlow, PyTorch etc.) MLOps experience Nice to have: Familiarity with Git or other Version Control Systems Computer Vision Library exposure Understanding of Big Data Technologies (Hadoop, Spark etc) Experience with Cloud platforms (AWS, GCP or Azure) This is a fully remote role, but may require very occasional travel (once a month or less) to their Bedford office. Salary up to £75,000. The client is unable to provide sponsorship for this position and you must be located in the UK to apply. If you are interested, please apply. Contact Danielle Blake on OR for more information. Understanding Recruitment is passionate about equity, diversity and inclusion. We seek individuals from the widest talent pool and encourage underrepresented talent to apply for vacancies with us. We are committed to recruitment processes that are fair for all, regardless of background and personal characteristics.
Python Engineer Python Engineer Hybrid UK - £65000 We are helping an innovative tech business scale their embedded software team. Due to continued growth and demand for their products they now urgently need a Python Engineer to join them ASAP. This role would suit a Python Engineer who has a bias towards front end (react) and wants to heavily influence the future direction of team. This role is fully remote within the UK. To be a successful, the ideal Python Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for you? As a talented Python Engineer you can expect: Great salary Up to £65k base commission and Package (neg for the right person) Flexible working An opportunity to work with some of the brightest minds in the tech sector If you are an ambitious Python Engineer hit apply and we will do the rest. Please apply with your CV and we will be in touch for a confidential chat. Noa Recruitment specialise in helping Software and Web Professionals and technical talent find great careers. If this role doesn t sound like you, but you know a great person who might be interested then please do share these details with them.
May 03, 2024
Full time
Python Engineer Python Engineer Hybrid UK - £65000 We are helping an innovative tech business scale their embedded software team. Due to continued growth and demand for their products they now urgently need a Python Engineer to join them ASAP. This role would suit a Python Engineer who has a bias towards front end (react) and wants to heavily influence the future direction of team. This role is fully remote within the UK. To be a successful, the ideal Python Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for you? As a talented Python Engineer you can expect: Great salary Up to £65k base commission and Package (neg for the right person) Flexible working An opportunity to work with some of the brightest minds in the tech sector If you are an ambitious Python Engineer hit apply and we will do the rest. Please apply with your CV and we will be in touch for a confidential chat. Noa Recruitment specialise in helping Software and Web Professionals and technical talent find great careers. If this role doesn t sound like you, but you know a great person who might be interested then please do share these details with them.
Senior Machine Learning Engineer Remote UK - £ 7 5000 We are helping an innovative tech business scale their ML software team. Due to continued growth and demand for their products they now urgently need a Senior Python Machine Learning Engineer to join them ASAP. This role would suit a Python Machine Learning Engineer who has a strong background in Machine Learning and ideally MLOps. This role is fully remote within the UK but if you do want to use their office they are based in Milton Keynes. To be a successful, the ideal Python Machine Learning Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for you? As a talented Python Machine Learning Engineer you can expect: Great salary Up to £75k base commission and Package (neg for the right person) Flexible working An opportunity to work with some of the brightest minds in the tech sector If you are an ambitious Python Machine Learning Engineer hit apply and we will do the rest. Please apply with your CV and we will be in touch for a confidential chat. Noa Recruitment specialise in helping Software and Web Professionals and technical talent find great careers. If this role doesn t sound like you, but you know a great person who might be interested then please do share these details with them.
May 03, 2024
Full time
Senior Machine Learning Engineer Remote UK - £ 7 5000 We are helping an innovative tech business scale their ML software team. Due to continued growth and demand for their products they now urgently need a Senior Python Machine Learning Engineer to join them ASAP. This role would suit a Python Machine Learning Engineer who has a strong background in Machine Learning and ideally MLOps. This role is fully remote within the UK but if you do want to use their office they are based in Milton Keynes. To be a successful, the ideal Python Machine Learning Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for you? As a talented Python Machine Learning Engineer you can expect: Great salary Up to £75k base commission and Package (neg for the right person) Flexible working An opportunity to work with some of the brightest minds in the tech sector If you are an ambitious Python Machine Learning Engineer hit apply and we will do the rest. Please apply with your CV and we will be in touch for a confidential chat. Noa Recruitment specialise in helping Software and Web Professionals and technical talent find great careers. If this role doesn t sound like you, but you know a great person who might be interested then please do share these details with them.
ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside. Unity (NYSE: U) enables creators to build and grow successful games and real-time experiences. Unity's Core ML Ads group enables creators and advertisers to turn games into businesses. We are looking for a seasoned, technical Product Manager who has experience with machine learning and distributed systems.This role can sit in Montreal, New York, London, or Tel Aviv. The ideal candidate is customer-obsessed and is as comfortable talking to senior customers as they are senior Data Scientists. This goes beyond interpreting business intelligence metrics and analysis; a successful candidate will be familiar with state-of-the-art (SOTA) model architectures, data pipelines, and MLOps, and how all these things come together to impact the customer. A background in math(s), physics, statistics, and or AdTech would be helpful, but not necessarily a blocker. We value strong ownership, execution, collaboration, and communication. This aligns with Unity's values and how we work together as a team. It matters 'how' you deliver, as much as 'what' you deliver. You will work with an amazing set of colleagues across all our business functions and geographies, including but not limited to Revenue, Engineering, Data Science, Legal, People, and Talent Acquisition. What you'll be doing Define, own, and deliver on OKRs that bring value to your customers Define and refine key KPIs that act as a proxy for customer experience Execute crisply with your pod of data scientists, engineers, and BI engineers Partner effectively with the Revenue org to understand customer needs What we're looking for Strong experience with ML services and teams as a PM Ability to deep dive into data and issues and solve problems at root Ability to plan long-term and execute on short-term Self-starter, entrepreneurial; values accountability on highly visible projects Ability to communicate crisply to leaders, technical staff, and commercial leaders You might also have Experience in mobile advertising or gaming Passion for game developers and their creations Academic background in Computer Science, Physics, Math(s), Economics Additional information Relocation support is not available for this position Life at Unity Unity NYSE: U is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .
May 03, 2024
Full time
ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside. Unity (NYSE: U) enables creators to build and grow successful games and real-time experiences. Unity's Core ML Ads group enables creators and advertisers to turn games into businesses. We are looking for a seasoned, technical Product Manager who has experience with machine learning and distributed systems.This role can sit in Montreal, New York, London, or Tel Aviv. The ideal candidate is customer-obsessed and is as comfortable talking to senior customers as they are senior Data Scientists. This goes beyond interpreting business intelligence metrics and analysis; a successful candidate will be familiar with state-of-the-art (SOTA) model architectures, data pipelines, and MLOps, and how all these things come together to impact the customer. A background in math(s), physics, statistics, and or AdTech would be helpful, but not necessarily a blocker. We value strong ownership, execution, collaboration, and communication. This aligns with Unity's values and how we work together as a team. It matters 'how' you deliver, as much as 'what' you deliver. You will work with an amazing set of colleagues across all our business functions and geographies, including but not limited to Revenue, Engineering, Data Science, Legal, People, and Talent Acquisition. What you'll be doing Define, own, and deliver on OKRs that bring value to your customers Define and refine key KPIs that act as a proxy for customer experience Execute crisply with your pod of data scientists, engineers, and BI engineers Partner effectively with the Revenue org to understand customer needs What we're looking for Strong experience with ML services and teams as a PM Ability to deep dive into data and issues and solve problems at root Ability to plan long-term and execute on short-term Self-starter, entrepreneurial; values accountability on highly visible projects Ability to communicate crisply to leaders, technical staff, and commercial leaders You might also have Experience in mobile advertising or gaming Passion for game developers and their creations Academic background in Computer Science, Physics, Math(s), Economics Additional information Relocation support is not available for this position Life at Unity Unity NYSE: U is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .
Python Engineer Python Engineer - Hybrid UK - £65000 We are helping an innovative tech business scale their embedded software team. Due to continued growth and demand for their products they now urgently need a Python Engineer to join them ASAP. This role would suit a Python Engineer who has a bias towards front end (react) and wants to heavily influence the future direction of team. This role is fully remote within the UK. To be a successful, the ideal Python Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for you? As a talented Python Engineer you can expect: Great salary - Up to £65k base commission and Package (neg for the right person) Flexible working An opportunity to work with some of the brightest minds in the tech sector If you are an ambitious Python Engineer hit apply and we will do the rest. Please apply with your CV and we will be in touch for a confidential chat.Noa Recruitment specialise in helping Software and Web Professionals and technical talent find great careers. If this role doesn't sound like you, but you know a great person who might be interested then please do share these details with them.
May 02, 2024
Full time
Python Engineer Python Engineer - Hybrid UK - £65000 We are helping an innovative tech business scale their embedded software team. Due to continued growth and demand for their products they now urgently need a Python Engineer to join them ASAP. This role would suit a Python Engineer who has a bias towards front end (react) and wants to heavily influence the future direction of team. This role is fully remote within the UK. To be a successful, the ideal Python Engineer candidate will have: Strong background in Python of Machine Learning or AI Strong knowledge of PyTorch, Hugging Face, TensorFlow Experience of MLOps would be a benefit Experience of working in a small but growing team. What is in it for you? As a talented Python Engineer you can expect: Great salary - Up to £65k base commission and Package (neg for the right person) Flexible working An opportunity to work with some of the brightest minds in the tech sector If you are an ambitious Python Engineer hit apply and we will do the rest. Please apply with your CV and we will be in touch for a confidential chat.Noa Recruitment specialise in helping Software and Web Professionals and technical talent find great careers. If this role doesn't sound like you, but you know a great person who might be interested then please do share these details with them.
Job description Site Name: London The Stanley Building Posted Date: Apr At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with and strong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 6th May 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition . click apply for full job details
May 02, 2024
Full time
Job description Site Name: London The Stanley Building Posted Date: Apr At GSK, we want to supercharge our data capability to better understand our patients and accelerate our ability to discover vaccines and medicines. The Onyx Research Data Platform organization represents a major investment by GSK R&D and Digital & Tech, designed to deliver a step-change in our ability to leverage data, knowledge, and prediction to find new medicines. We are a full-stack shop consisting of product and portfolio leadership, data engineering, infrastructure and DevOps, data / metadata / knowledge platforms, and AI/ML and analysis platforms, all geared toward: Building a next-generation, metadata- and automation-driven data experience for GSK's scientists, engineers, and decision-makers, increasing productivity and reducing time spent on "data mechanics" Providing best-in-class AI/ML and data analysis environments to accelerate our predictive capabilities and attract top-tier talent Aggressively engineering our data at scale, as one unified asset, to unlock the value of our unique collection of data and predictions in real-time Onyx Product Management is at the heart of our mission, ensuring that everything from our infrastructure, to platforms, to end-user facing data assets and environments is designed to maximize our impact on R&D. The Product Management team partners with R&D stakeholders and Onyx leadership to develop a strategic roadmap for all customer-facing aspects of Onyx, including data assets, ontology, Knowledge Graph / semantic search, data / computing / analysis platforms, and data-powered applications. We are seeking a highly skilled and experienced Manager for our Computing Platforms Products. In this role, you will be responsible for developing the product strategy of our Computing Platform to meet customer needs. You will partner closely with Onyx's organizations, including AI/ML, a diversity of R&D teams utilizing data to accelerate drug discovery (genomics sciences, computational biology, imaging, computational chemistry, to name a few), along with the Onyx portfolio management and engineering function heads to deliver industry-leading solutions that power R&D workloads. You will drive the product roadmap, guide product development initiatives, and ensure the successful launch and adoption of our Compute platform including the migration of existing GSK applications to the platform. Together, you will facilitate joint planning and execution of the product roadmap, ensuring a balance between strategic development and customer-facing deliverables. You will also play a key role in devising, tracking, and publicizing metrics that measure the impact and performance of Onyx Compute Platform Products. You will be responsible for understanding the business areas using Onyx, Platform capabilities, translating customer needs into requirements aligned with standard frameworks such as ontologies and engineering pipelines, and ensure our R&D teams receive the solutions they need to succeed. In this role you will Product Strategy: Develop and execute a comprehensive product strategy for our AI/ML compute platform, aligning with the Onyx's overall goals and objectives. Roadmap Development: Define and prioritize features, enhancements, and functionalities for the platform based on user analysis, customer feedback, and business requirements. Cross-functional Collaboration: Collaborate closely with engineering, AI/ML, and portfolio/program teams to ensure successful product development and deployment. Stakeholder Engagement: Collaborate with customers, partners, and internal stakeholders to understand their needs, gather feedback, and incorporate it into product planning and development processes. Product Launch: Plan and oversee product launches, ensuring effective communication, documentation, and training to drive product adoption and success. Performance Measurement: Define key product metrics, establish monitoring systems, and regularly evaluate and report on the performance and success of the compute platform. Product Ambassador: Serve as an ambassador of the compute platform, effectively communicating its value and benefits to GSK Research and Development leadership and identifying potential customers. Industry Expertise: Stay up to date with the latest advancements and trends in AI, machine learning, and compute platforms, applying industry knowledge to drive innovation and competitive advantage. Why you? Qualifications & Skills: We are looking for professionals with these required skills to achieve our goals: Experience of cloud computing management for scientific computing, data science and/or artificial intelligence model training with a major cloud provider (AWS, Google Cloud, Azure etc) Strong relevant experience in Data Science, Scientific Computing, Machine Learning/AI, Computer Science, Platform Engineering, or related discipline. Excellent communication, collaboration, and stakeholder management skills. Strong leadership abilities and a self-driven, proactive approach. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Preferred Qualifications & Skills: If you have the following characteristics, it would be a plus: Technical Knowledge: Experience with and strong understanding of on-prem and cloud computing, and software development practices; familiarity with MLOps and distributed computing is highly desirable. Experience with containers and virtual machines including Kubernetes, Slurm or other orchestration tools. Knowledge of modern infrastructure including Infrastructure-as-code tools (e.g. Terraform, Ansible ) Familiar with software engineering ways of working and engagement model Strong proficiency in utilizing various product management tools, including Jira and Confluence. Proven track record of managing developer platforms, tools, and services. Strong proficiency in utilizing various product management tools, including Jira and Confluence. Prior product management experience of enterprise AI/ML platform is strongly preferred. Experience with bioinformatics/genomics database, biological datasets, Pharma R&D is a plus, but not required. Strategic Thinker: Proven track record in developing and executing product strategies that drive business growth and customer satisfaction. Stakeholder Skills: Demonstrated ability to keep cross-functional teams, set clear objectives, and foster a collaborative and innovative work environment. Can lead without authority. Customer Focus: A customer-centric mindset with a deep understanding of customer needs and the ability to translate them into effective product solutions. Analytical and Data-Driven: Strong analytical skills with the ability to gather and interpret data, perform market research, and make data-driven decisions. Excellent Communication: Exceptional written and verbal communication skills, with the ability to effectively present complex ideas and concepts to both technical and non-technical audiences. Adaptability: Thrives in a fast-paced, dynamic environment and can adapt quickly to changing priorities and business needs. Closing Date for Applications: Monday 6th May 2024 (COB) Please take a copy of the Job Description, as this will not be available post closure of the advert. When applying for this role, please use the 'cover letter' of the online application or your CV to describe how you meet the competencies for this role, as outlined in the job requirements above. The information that you have provided in your cover letter and CV will be used to assess your application. During the course of your application, you will be requested to complete voluntary information which will be used in monitoring the effectiveness of our equality and diversity policies. Your information will be treated as confidential and will not be used in any part of the selection process. If you require a reasonable adjustment to the application / selection process to enable you to demonstrate your ability to perform the job requirements, please contact . This will help us to understand any modifications we may need to make to support you throughout our selection process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a special purpose - to unite science, technology and talent to get ahead of disease together - so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns - as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology). Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves - feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition . click apply for full job details
ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside. Unity (NYSE: U) enables creators to build and grow successful games and real-time experiences. Unity's Core ML Ads group enables creators and advertisers to turn games into businesses. We are looking for a seasoned, technical Product Manager who has experience with machine learning and distributed systems.This role can sit in Montreal, New York, London, or Tel Aviv. The ideal candidate is customer-obsessed and is as comfortable talking to senior customers as they are senior Data Scientists. This goes beyond interpreting business intelligence metrics and analysis; a successful candidate will be familiar with state-of-the-art (SOTA) model architectures, data pipelines, and MLOps, and how all these things come together to impact the customer. A background in math(s), physics, statistics, and or AdTech would be helpful, but not necessarily a blocker. We value strong ownership, execution, collaboration, and communication. This aligns with Unity's values and how we work together as a team. It matters 'how' you deliver, as much as 'what' you deliver. You will work with an amazing set of colleagues across all our business functions and geographies, including but not limited to Revenue, Engineering, Data Science, Legal, People, and Talent Acquisition. What you'll be doing Define, own, and deliver on OKRs that bring value to your customers Define and refine key KPIs that act as a proxy for customer experience Execute crisply with your pod of data scientists, engineers, and BI engineers Partner effectively with the Revenue org to understand customer needs What we're looking for Strong experience with ML services and teams as a PM Ability to deep dive into data and issues and solve problems at root Ability to plan long-term and execute on short-term Self-starter, entrepreneurial; values accountability on highly visible projects Ability to communicate crisply to leaders, technical staff, and commercial leaders You might also have Experience in mobile advertising or gaming Passion for game developers and their creations Academic background in Computer Science, Physics, Math(s), Economics Additional information Relocation support is not available for this position Life at Unity Unity NYSE: U is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .
May 02, 2024
Full time
ALERT: Unity has received reports of scams where individuals purporting to be Unity HR representatives conduct bogus employment interviews via email or text, and then request payment as a condition for receiving an offer of employment. Please be aware that Unity does not conduct interviews by email or text, and will never request payment as a condition for applying for a position or receiving an offer of employment. These scam operators may also ask for your personal information (name, address, birthdate, social security number, etc.) which you should not provide to them. If you have been a target of such a scam, you should report it by contacting the U.S. Federal Trade Commission (see this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside this FTC posting for further details) the office of your state Attorney General, or the government agency responsible for investigating matters such as this where you reside. Unity (NYSE: U) enables creators to build and grow successful games and real-time experiences. Unity's Core ML Ads group enables creators and advertisers to turn games into businesses. We are looking for a seasoned, technical Product Manager who has experience with machine learning and distributed systems.This role can sit in Montreal, New York, London, or Tel Aviv. The ideal candidate is customer-obsessed and is as comfortable talking to senior customers as they are senior Data Scientists. This goes beyond interpreting business intelligence metrics and analysis; a successful candidate will be familiar with state-of-the-art (SOTA) model architectures, data pipelines, and MLOps, and how all these things come together to impact the customer. A background in math(s), physics, statistics, and or AdTech would be helpful, but not necessarily a blocker. We value strong ownership, execution, collaboration, and communication. This aligns with Unity's values and how we work together as a team. It matters 'how' you deliver, as much as 'what' you deliver. You will work with an amazing set of colleagues across all our business functions and geographies, including but not limited to Revenue, Engineering, Data Science, Legal, People, and Talent Acquisition. What you'll be doing Define, own, and deliver on OKRs that bring value to your customers Define and refine key KPIs that act as a proxy for customer experience Execute crisply with your pod of data scientists, engineers, and BI engineers Partner effectively with the Revenue org to understand customer needs What we're looking for Strong experience with ML services and teams as a PM Ability to deep dive into data and issues and solve problems at root Ability to plan long-term and execute on short-term Self-starter, entrepreneurial; values accountability on highly visible projects Ability to communicate crisply to leaders, technical staff, and commercial leaders You might also have Experience in mobile advertising or gaming Passion for game developers and their creations Academic background in Computer Science, Physics, Math(s), Economics Additional information Relocation support is not available for this position Life at Unity Unity NYSE: U is the world's leading platform of tools for creators to build and grow real-time games, apps, and experiences across multiple platforms. Creators, ranging from game developers to artists, architects, automotive designers, infrastructure experts, filmmakers, and more, use Unity to bring their imaginations to life across multiple platforms, from mobile, PC, and console, to spatial computing. As of the fourth quarter of 2023, more than 69% of the top 1,000 mobile games are made with Unity as derived from a blended number of the top 1,000 games in the Google Play Store and iOS App Store. In 2023, Made with Unity applications had an average of 3.7 billion downloads per month. For more information, please visit . Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect and Applicant Privacy Policies. Should you have any concerns about your privacy, please contact us at .
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
May 02, 2024
Full time
SThree is delighted to announce that we are currently accepting applications for an experienced AI Engineer. This position presents an excellent opportunity to join a global audience of stakeholders. Additionally, it offers the potential for growth within an international company. As an AI Engineer specialising in Azure Services, you will be responsible for designing, implementing, and maintaining AI solutions within our organisation. Leveraging the Azure platform, including Azure OpenAI, Azure Vision and other Azure AI services, you will develop scalable, efficient, and effective AI models and systems to address business challenges, enhance decision-making, and drive innovation. Collaboration with cross-functional teams to integrate AI capabilities into our products and services will be key. About us SThree is the global STEM-specialist talent partner that connects sought-after specialists in life sciences, technology, engineering and mathematics with innovative organisations across the world. We are the number one destination for talent in the best STEM markets: Recruiting highly skilled professionals and discovering life-changing jobs for the unsung heroes who will positively shape our future. What are the day-to-day tasks? Design and develop AI models and solutions using Azure OpenAI, Azure Machine Learning, and Azure Cognitive Services to address specific business challenges. Implement and maintain scalable and efficient AI systems, ensuring they meet business requirements and performance benchmarks. Collaborate with business analysts, scientists, and IT teams to integrate AI solutions into existing systems and work flows Stay abreast of advancements in AI, machine learning, and Azure services, incorporating new technologies and methodologies to continually improve solution offerings. Provide expertise and guidance on AI best practices, contributing to the organisation's AI strategy and innovation efforts. Conduct data analysis and feature engineering to prepare data for use in AI models, utilising Azure Data Lake Develop robust testing and validation processes to ensure the accuracy and reliability of AI models. Ensure that operational issues are identified, recorded, monitored and resolved. Conducts investigations of significant operational outage and provides recommendations for problem mitigation. Provides appropriate status and other reports to specialists, users and managers. Align all operations procedures to service expectations, security requirements and other quality standards. Ensures that operational procedures are fit for purpose and updated. Oversee the planning, installation, maintenance and acceptance of new and updated components and services. Defines security procedures to be followed, and delegates tasks What skills and knowledge are we looking for? Programming Skills: Proficiency in programming languages such as Python, C#, or Java, with a deep understanding of software development principles. Experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks desirable Solid background in machine learning algorithms, data preprocessing, feature engineering, and model evaluation. Experience with deep learning frameworks like TensorFlow or PyTorch is desirable. Proficiency in handling large datasets, experience with Azure Data Factory, Azure SQL Database, and Cosmos DB. Understanding of CI/CD pipelines, containerisation (Docker, Kubernetes), implementing MLOps practices using Azure DevOps. Azure Cloud services relevant to AI, such as Azure Kubernetes Service (AKS), Azure GPU VMs, and Azure networking and security services tailored for AI applications. Qualifications: Degree in computer science/software engineering and/or 5+ years equivalent work experience within a cloud environment. Cloud Certifications desirable Qualifications such as the following would be advantageous, however not necessary: Microsoft Azure AI Engineer Fundamentals / Associate Microsoft Azure Data Engineer Microsoft Data Scientist Associate Benefits for our U.K. teams include: Choice to work flexibly from home and the office, in line with our hybrid working principles Bonus linked to company and personal performance Generous 28 days holiday, plus public holidays Annual leave purchase scheme Five days paid Caregiver/Dependant leave per annum Five paid days off per year for volunteering Private healthcare, discounted dental insurance and health care cashback scheme Opportunity to participate in the company share scheme Access to a range of retail discounts and saving What we stand for We're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable, and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help. What we stand for We create community and deliver change that transforms the future for everyone. With this in mind, we're committed to ensuring for our colleagues, candidates and communities, that all processes are equitable and everyone is treated with fairness and dignity where everyone belongs, is valued and is connected. If you need any assistance or reasonable adjustments in submitting your application, please let us know, and we'll be happy to help.
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired / what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps / DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
May 02, 2024
Full time
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Birmingham; can be remote-based, hybrid working or office-based Key experience desired / what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps / DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
Xpertise Recruitment Ltd
Newcastle Upon Tyne, Tyne And Wear
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Newcastle or Birmingham; can be remote-based, hybrid working or office-based Key experience desired / what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps / DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
May 02, 2024
Full time
Xpertise is seeking two talented Machine Learning Engineers to join our esteemed team in Birmingham. As part of our growing engineering division, you will play a pivotal role in designing, implementing, and optimizing machine learning models and data pipelines. With a strong emphasis on AWS technologies and MLOps practices, you'll have the opportunity to contribute to the development of scalable, production-grade solutions that drive business value. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £400.00 per day (Outisde IR35) Benefits: 10-25% bonus + healthcare + 10% pension Location: Newcastle or Birmingham; can be remote-based, hybrid working or office-based Key experience desired / what you will learn: Experience developing, deploying, and maintaining machine learning models in production environments. Strong understanding of AWS cloud services, especially in building and managing data pipelines and machine learning workflows: S3, Redshift, Lambda, Glue, EMR, EKS (Kubernetes) Familiarity with MLOps / DevOps concepts and practices, including version control, CI/CD, and model monitoring. Proficiency in Python and relevant data manipulation and analysis libraries (e.g., pandas, NumPy). Experience with distributed computing frameworks like Apache Spark is a plus. Apache Spark and Airflow would be a bonus. Role overview: If you're looking to work with a team of ambitious software engineers, talented senior leaders all while working with the latest data, AI and cloud technologies, then this one's for you. They have big plans to disrupt the industry with this machine learning work, so it's a great time to join. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
Excited to grow your career? Our purpose is to empower people to save and invest with confidence. We are looking for great people to join us, so please come and invest in YOUR future at HL. We know that sometimes people can be put off applying for a job if they don't tick every box. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. We'd love to hear from you! About the role Hargreaves Lansdown (HL) are now recruiting for an MLOps Engineer to join the team. This role is instrumental in enabling HL to harness the full potential of Artificial Intelligence and Machine Learning allowing us to drive significant value to our clients as well as ensuring that our data scientists can rapidly develop, deploy, and manage models at scale with reliability and efficiency. By streamlining the ML lifecycle, from experimentation to production, you will facilitate seamless collaboration between data scientists, developers, and IT operations, fostering an environment of innovation and driving significant value through intelligent, data-driven decisions. Through robust, scalable MLOps practices, this role supports HL's vision of becoming a leader in AI-driven solutions, optimising operations, enhancing customer experiences, and unlocking new opportunities for growth and competitive advantage. This is an excellent opportunity for you to be the driver of a new product within HL where you'll have the opportunity to build the roadmap and take ownership of how we leverage AI/ML at HL. What you'll be doing You will be at the forefront of deploying cutting-edge machine learning models and providing comprehensive support to ensure seamless integration into production environments Taking ownership of our MLOps platform, spearheading its development, optimisation, and growth Driving the implementation of CI/CD (continuous integration and continuous delivery/deployment) pipelines to streamline the development, testing, and deployment processes, ensuring rapid and reliable delivery of machine learning solutions Manage and optimise the infrastructure supporting our machine learning workloads, leveraging the latest technologies to ensure scalability, reliability, and performance Champion best practices for writing production-quality code and implementing robust machine learning frameworks, maintaining the highest standards of quality and efficiency Implement and enforce rigorous security measures and ensure compliance with industry regulations, safeguarding our platform and data against potential threats API Development and Deployment Collaborating with Data Science and Engineering Teams to drive innovation and excellence About you Ability to Design and implement MLOps pipelines on AWS Experience with MLOps Frameworks, mainly SageMaker and MLFlow Strong programming experience in production environments (Python) Strong infrastructure knowledge (Terraform) Experience with DevOps tools (Docker, Kubernetes) Experience with integrating with data warehouses (Snowflake) and activation channels (Adobe, Salesforce) Effective interpersonal skills to engage and collaborate with multiple internal and external stakeholders. Interview process The interview process for this role will be 2 stages plus a task. Working Schedule This role is based in Bristol head office, BS1 5HL. This role is permanent, full time, 37.5 hours per week, Monday to Friday. We have returned to the office, however for this role we offer a hybrid flexible working pattern to enable you the option of working from home and coming into the office. Why us? Here at HL, we're the UK's number 1 investment platform for private investors, based in Bristol. For more than 40 years we've helped investors save time, tax and money on their investments.To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos. We're steered by core values that promote service, quality, innovation, and opportunity in everything we do. What's on offer? Discretionary annual bonus & annual pay review 25 days holiday plus bank holidays and 1-day additional Christmas closure time Option to purchase an additional 5 days holiday per year at annual enrolment Flexible working options available, including hybrid working Enhanced parental leave Pension scheme up to 11% employer contribution Sharesave scheme - have a real stake in HL's future Income Protection & Life insurance (4 x salary core level of cover) Private medical insurance Health care cash plans - including optical, dental, and out patientcare and an Employee Assistance Programme Gympass - gym memberships and wellbeing apps available Variety of travel to work schemes with free bike storage and shower facilities An inhouse barista serving subsidised coffee and snacks Join HL's sports, I&D networks and volunteering groups (two paid volunteering days per year) LifeWorks Discounts on services, restaurants and retailers dependant on role level Hargreaves Lansdown is an inclusive employer that values diversity in its workforce. We encourage applications from all individuals without regard to race, religion, gender, sexual orientation, national origin, disability or age. This role may also be available on a flexible working or part time basis - please ask the Recruitment & Onboarding team for more information. Please note, we are unable to provide employment sponsorship to candidates.
May 01, 2024
Full time
Excited to grow your career? Our purpose is to empower people to save and invest with confidence. We are looking for great people to join us, so please come and invest in YOUR future at HL. We know that sometimes people can be put off applying for a job if they don't tick every box. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. We'd love to hear from you! About the role Hargreaves Lansdown (HL) are now recruiting for an MLOps Engineer to join the team. This role is instrumental in enabling HL to harness the full potential of Artificial Intelligence and Machine Learning allowing us to drive significant value to our clients as well as ensuring that our data scientists can rapidly develop, deploy, and manage models at scale with reliability and efficiency. By streamlining the ML lifecycle, from experimentation to production, you will facilitate seamless collaboration between data scientists, developers, and IT operations, fostering an environment of innovation and driving significant value through intelligent, data-driven decisions. Through robust, scalable MLOps practices, this role supports HL's vision of becoming a leader in AI-driven solutions, optimising operations, enhancing customer experiences, and unlocking new opportunities for growth and competitive advantage. This is an excellent opportunity for you to be the driver of a new product within HL where you'll have the opportunity to build the roadmap and take ownership of how we leverage AI/ML at HL. What you'll be doing You will be at the forefront of deploying cutting-edge machine learning models and providing comprehensive support to ensure seamless integration into production environments Taking ownership of our MLOps platform, spearheading its development, optimisation, and growth Driving the implementation of CI/CD (continuous integration and continuous delivery/deployment) pipelines to streamline the development, testing, and deployment processes, ensuring rapid and reliable delivery of machine learning solutions Manage and optimise the infrastructure supporting our machine learning workloads, leveraging the latest technologies to ensure scalability, reliability, and performance Champion best practices for writing production-quality code and implementing robust machine learning frameworks, maintaining the highest standards of quality and efficiency Implement and enforce rigorous security measures and ensure compliance with industry regulations, safeguarding our platform and data against potential threats API Development and Deployment Collaborating with Data Science and Engineering Teams to drive innovation and excellence About you Ability to Design and implement MLOps pipelines on AWS Experience with MLOps Frameworks, mainly SageMaker and MLFlow Strong programming experience in production environments (Python) Strong infrastructure knowledge (Terraform) Experience with DevOps tools (Docker, Kubernetes) Experience with integrating with data warehouses (Snowflake) and activation channels (Adobe, Salesforce) Effective interpersonal skills to engage and collaborate with multiple internal and external stakeholders. Interview process The interview process for this role will be 2 stages plus a task. Working Schedule This role is based in Bristol head office, BS1 5HL. This role is permanent, full time, 37.5 hours per week, Monday to Friday. We have returned to the office, however for this role we offer a hybrid flexible working pattern to enable you the option of working from home and coming into the office. Why us? Here at HL, we're the UK's number 1 investment platform for private investors, based in Bristol. For more than 40 years we've helped investors save time, tax and money on their investments.To achieve our mission, we believe we have a workplace like no other, with constant learning, dynamic teams, and a great ethos. We're steered by core values that promote service, quality, innovation, and opportunity in everything we do. What's on offer? Discretionary annual bonus & annual pay review 25 days holiday plus bank holidays and 1-day additional Christmas closure time Option to purchase an additional 5 days holiday per year at annual enrolment Flexible working options available, including hybrid working Enhanced parental leave Pension scheme up to 11% employer contribution Sharesave scheme - have a real stake in HL's future Income Protection & Life insurance (4 x salary core level of cover) Private medical insurance Health care cash plans - including optical, dental, and out patientcare and an Employee Assistance Programme Gympass - gym memberships and wellbeing apps available Variety of travel to work schemes with free bike storage and shower facilities An inhouse barista serving subsidised coffee and snacks Join HL's sports, I&D networks and volunteering groups (two paid volunteering days per year) LifeWorks Discounts on services, restaurants and retailers dependant on role level Hargreaves Lansdown is an inclusive employer that values diversity in its workforce. We encourage applications from all individuals without regard to race, religion, gender, sexual orientation, national origin, disability or age. This role may also be available on a flexible working or part time basis - please ask the Recruitment & Onboarding team for more information. Please note, we are unable to provide employment sponsorship to candidates.
Senior level AI Engineer, NLP, Large Language Models, ML, Biotech West London - office based 4 days per week Highly competitive + BUPA + high Bonus We're looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. You'll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models 4+ years of post-doctoral or similar commercial experience Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is essential with a preference for AWS Self-aware with intuition, gravitas, naturally strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning / Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL Experience with graph databases Network Science and modern statistical methods would be a big 'plus' You will be one of a handful of talented AI Engineers and Scientists to join a stunning, world class, tech team of problem solvers. This new team will embark on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms. Some of the wider benefits: BUPA for self + partner/family, Discretionary bonus, 10% employer pension contribution
May 01, 2024
Full time
Senior level AI Engineer, NLP, Large Language Models, ML, Biotech West London - office based 4 days per week Highly competitive + BUPA + high Bonus We're looking for an MSc / PhD level AI Engineer / AI Scientist. An Artificial Intelligence / Machine Learning, LLM expert to contribute to a transformational change in the way drug discovery is done with a high growth, fast-paced biotechnology company. The successful candidate will specialise in NLP / Large Language Models bringing in-depth expertise - real problem-solving 'under the bonnet' knowhow of LLMs eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone etc. You'll be skilled in adapting and debugging ML systems across different environments, interested in all aspects of machine learning, such as parameter efficient adaptation of large language and vision models. With ideas about productionizing ML systems, long context text summarization, production-grade ML systems etc. In short, you will have acquired special expertise in Transformers, be experienced with API wrappers like LangChain and Auto-GPT, have experience in evaluating LLMs and prompt engineering, semantic search, MLOps, and embedding-based fine tuning of NLP models such as those in Sentence Transformers. You will need: MSc/PhD in AI/Machine Learning, Textual Analysis/Natural Language Processing and Transformer technology/Large Language Models 4+ years of post-doctoral or similar commercial experience Experience in NLP and Large Language Models, eg. GPT-4, Claude, Huggingface, LLaMA, LangChain, LlamaIndex, Pinecone Proven track record of contributions to large AI domain software and data engineering projects relevant to the life sciences, ideally in drug discovery, preferably in a biotech start-up environment Good knowledge of cloud computing environments is essential with a preference for AWS Self-aware with intuition, gravitas, naturally strong leadership and listening skills Knowledge in several of the following will be advantageous: AI/ML approaches to problems in the Life Sciences Engineering and data solutions to support bioinformatic workflow design and development, with a focus on ML/AI applications An understanding of data management techniques for large-scale scientific data sets Programming skills in Java, C/C++, R or Python SOA NLP APIs and Machine Learning / Deep Learning frameworks Experience of translating user requirements into workflow designs/specifications Experience building and optimising data processing pipelines e.g., Nextflow/Nextflow Tower, SQL/NoSQL Experience with graph databases Network Science and modern statistical methods would be a big 'plus' You will be one of a handful of talented AI Engineers and Scientists to join a stunning, world class, tech team of problem solvers. This new team will embark on a groundbreaking project to develop and implement AI-driven innovations, supporting the implementation of next generation computational drug discovery and siRNA platforms. Some of the wider benefits: BUPA for self + partner/family, Discretionary bonus, 10% employer pension contribution
Data ScientistLondon £60,000 - £70,000 This is an exciting new opportunity for a Data Scientist to join a Data-driven start-up! THE COMPANY As the Data team are the core of the business, you'll be joining a team of Data Scientists, MLOps Engineers, Data Engineers and Software Engineers so you'll get to see the full life-cycle of projects. You'll be working in a fast-paced, dynamic and sociable environment on a variety of projects. THE ROLE As a Data Scientist for the business you will: Work on a variety of machine learning projects end-to-end to create business value, focusing mainly on time series forecasting and propensity modelling Deploy machine learning models to the cloud Collaborate with Data Engineers and Software Engineers SKILLS AND EXPERIENCE Strong academic background to Degree level Proven experience of adding value to the business with figures to support Time-series forecasting experience would be beneficial Experience working with geospatial data would be beneficial Experience deploying machine learning models Strong communication skills & stakeholder management experience Tech: Python, SQL SALARY AND BENEFITS Basic salary £60,000 - £70,000 Hybrid working - 3 days per week in London Benefits package including pension, holiday allowance and lots of team socials / lunches! INTERVIEW PROCESS Introductory interview with the Lead Data Scientist Technical take home task & follow-up technical interview Cultural Interview with C-level HOW TO APPLY Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
May 01, 2024
Full time
Data ScientistLondon £60,000 - £70,000 This is an exciting new opportunity for a Data Scientist to join a Data-driven start-up! THE COMPANY As the Data team are the core of the business, you'll be joining a team of Data Scientists, MLOps Engineers, Data Engineers and Software Engineers so you'll get to see the full life-cycle of projects. You'll be working in a fast-paced, dynamic and sociable environment on a variety of projects. THE ROLE As a Data Scientist for the business you will: Work on a variety of machine learning projects end-to-end to create business value, focusing mainly on time series forecasting and propensity modelling Deploy machine learning models to the cloud Collaborate with Data Engineers and Software Engineers SKILLS AND EXPERIENCE Strong academic background to Degree level Proven experience of adding value to the business with figures to support Time-series forecasting experience would be beneficial Experience working with geospatial data would be beneficial Experience deploying machine learning models Strong communication skills & stakeholder management experience Tech: Python, SQL SALARY AND BENEFITS Basic salary £60,000 - £70,000 Hybrid working - 3 days per week in London Benefits package including pension, holiday allowance and lots of team socials / lunches! INTERVIEW PROCESS Introductory interview with the Lead Data Scientist Technical take home task & follow-up technical interview Cultural Interview with C-level HOW TO APPLY Please register your interest for this role by sending your CV to Rosie O'Callaghan via the apply link on this page
We are currently recruiting for one of our trusted clients who are look for a Data Engineer. Join our client, a leading player in the pet health services and insurance industry, as they aim to secure the coveted position of the UK's Pet Insurer. Our client is embarking on an exhilarating journey, backed by substantial funding that will propel them to the forefront of global product leadership. This pivotal moment includes a dynamic company rebrand, extensive departmental expansion, a sweeping transformation, and substantial investments in cutting-edge technologies. What You Can Expect Work Type - Permanent Location - Borehamwood (Hybrid model - once a week in the office) Industry - Insurance Salary - £80,000 Main Responsibilities as a Data Engineer Establish and oversee the creation of new data storage systems, managing both unstructured and semi-structured data. Monitor and enforce the use of our Azure platform to ensure that users adhere to agreed-upon processes and practices for code, data, and model governance. Deploy policies and quotas to optimize the usage and spending on the Azure platform and its instances. Maintain and provide support for our Azure platform for Machine Learning, 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 practices such as code versioning, code reviews, unit testing, documentation, and use of collaboration tools. Extensive experience in scripting, batch processing, and stream processing. Experience with or at least an interest in Machine Learning and widely used technologies, 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 of code, data, and pipelines to ensure reproducibility. Expertise in application infrastructure, including experience with containers, Docker, and Kubernetes. For further information on this Data Engineer role apply below We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying, you confirm you are happy to be added to the Addition mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.
May 01, 2024
Full time
We are currently recruiting for one of our trusted clients who are look for a Data Engineer. Join our client, a leading player in the pet health services and insurance industry, as they aim to secure the coveted position of the UK's Pet Insurer. Our client is embarking on an exhilarating journey, backed by substantial funding that will propel them to the forefront of global product leadership. This pivotal moment includes a dynamic company rebrand, extensive departmental expansion, a sweeping transformation, and substantial investments in cutting-edge technologies. What You Can Expect Work Type - Permanent Location - Borehamwood (Hybrid model - once a week in the office) Industry - Insurance Salary - £80,000 Main Responsibilities as a Data Engineer Establish and oversee the creation of new data storage systems, managing both unstructured and semi-structured data. Monitor and enforce the use of our Azure platform to ensure that users adhere to agreed-upon processes and practices for code, data, and model governance. Deploy policies and quotas to optimize the usage and spending on the Azure platform and its instances. Maintain and provide support for our Azure platform for Machine Learning, 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 practices such as code versioning, code reviews, unit testing, documentation, and use of collaboration tools. Extensive experience in scripting, batch processing, and stream processing. Experience with or at least an interest in Machine Learning and widely used technologies, 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 of code, data, and pipelines to ensure reproducibility. Expertise in application infrastructure, including experience with containers, Docker, and Kubernetes. For further information on this Data Engineer role apply below We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying, you confirm you are happy to be added to the Addition mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.
Xpertise Recruitment Ltd
Newcastle Upon Tyne, Tyne And Wear
Xpertise is seeking a series of Data Engineers with cloud experience to join a fledgling team in Birmingham. As part of our client's growing engineering division, you will play a pivotal role in leading the data engineering capabilities, working closely with Platform Engineers, Developers, and Analysts. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £450.00 per day (Outisde IR35) Benefits: Private healthcare + 10% pension + free lunches + international travel opportunities Location: Newcastle; can be remote-based, hybrid working or office-based Future outlook: Vertical and horizontal opportunities: there'll be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired / what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Python development Implement data governance and security best practices to ensure compliance and data integrity. Monitor and troubleshoot data pipelines, ensuring high availability and reliability. CI/CD pipeline automation utilising GitLab DevOps: GKE (Kubernetes), Terraform, Ansible Leadership capabilities: mentorship, management Role overview: If you're eager to collaborate with a driven team of software engineers and accomplished senior leaders while immersing yourself in cutting-edge data, AI, and cloud technologies, then this opportunity is tailor-made for you. With ambitious plans to revolutionise the industry through groundbreaking machine learning and analytics projects, now is the perfect moment to become part of our journey. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
May 01, 2024
Full time
Xpertise is seeking a series of Data Engineers with cloud experience to join a fledgling team in Birmingham. As part of our client's growing engineering division, you will play a pivotal role in leading the data engineering capabilities, working closely with Platform Engineers, Developers, and Analysts. Key details: Salary: £55,000-95,000 (Mid-Lead) I'd consider experienced contractors with a rate of £450.00 per day (Outisde IR35) Benefits: Private healthcare + 10% pension + free lunches + international travel opportunities Location: Newcastle; can be remote-based, hybrid working or office-based Future outlook: Vertical and horizontal opportunities: there'll be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired / what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Python development Implement data governance and security best practices to ensure compliance and data integrity. Monitor and troubleshoot data pipelines, ensuring high availability and reliability. CI/CD pipeline automation utilising GitLab DevOps: GKE (Kubernetes), Terraform, Ansible Leadership capabilities: mentorship, management Role overview: If you're eager to collaborate with a driven team of software engineers and accomplished senior leaders while immersing yourself in cutting-edge data, AI, and cloud technologies, then this opportunity is tailor-made for you. With ambitious plans to revolutionise the industry through groundbreaking machine learning and analytics projects, now is the perfect moment to become part of our journey. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
Data Scientist - Fully-remote - £55,000 Avanti Recruitment is working with an innovative technology company that create threat detection, around client sites including airports, prisons, and major sporting arenas with plans to expand to even more exciting areas. You will be involved in working advanced projects, developing systems, with the opportunity to grow, learn and join their exciting journey, which is only just starting! They are looking for someone with a strong academic background, who is passionate about Machine Learning, as this role will focus heavily on this. Experience with Image Analytics is a plus, but they are open to viewing profiles from different industries and years of experience is not a deal breaker. They work a remote model, with quarterly meetups. Experience: Proficiency in Python, including experience constructing, testing, and deploying standard Machine Learning and neural network models. Familiarity with a range of tools and libraries, including but not limited to Matlab, C#/C++, TensorFlow, PyTorch, Pandas, NumPy, and Scikit-learn. Desirable: Advanced degrees and industry experience. Experience in Algorithm Research or Product Development Degree in Maths, Physics, Engineering etc. Experience with MLOps The company are offering a salary up to £55,000 plus a pension scheme, medical insurance, life assurance, buy up to 5 days of extra holiday and an employee referral scheme.
May 01, 2024
Full time
Data Scientist - Fully-remote - £55,000 Avanti Recruitment is working with an innovative technology company that create threat detection, around client sites including airports, prisons, and major sporting arenas with plans to expand to even more exciting areas. You will be involved in working advanced projects, developing systems, with the opportunity to grow, learn and join their exciting journey, which is only just starting! They are looking for someone with a strong academic background, who is passionate about Machine Learning, as this role will focus heavily on this. Experience with Image Analytics is a plus, but they are open to viewing profiles from different industries and years of experience is not a deal breaker. They work a remote model, with quarterly meetups. Experience: Proficiency in Python, including experience constructing, testing, and deploying standard Machine Learning and neural network models. Familiarity with a range of tools and libraries, including but not limited to Matlab, C#/C++, TensorFlow, PyTorch, Pandas, NumPy, and Scikit-learn. Desirable: Advanced degrees and industry experience. Experience in Algorithm Research or Product Development Degree in Maths, Physics, Engineering etc. Experience with MLOps The company are offering a salary up to £55,000 plus a pension scheme, medical insurance, life assurance, buy up to 5 days of extra holiday and an employee referral scheme.
Principal AI Engineer - HealthTech GenAI & MLOps Hybrid - Woking - 3x a week Up to £85k Seeking a Principal AI Engineer specialising in Automation & GenAI to drive cutting-edge solutions. You'll have the opportunity to work on the forefront of GenAI technology, strategizing, building, and supporting implementations that will enable them to deliver faster and more effectively than ever before. You'll be responsible for building and running GenAI capabilities, ensuring robust support and integration into standard incident processes as the products mature. You'll collaborate with distributed teams across the business to facilitate the consumption of AI/ML capabilities and play a hands-on role in coding, building, governing, and maintaining these solutions. Additionally, you'll design and implement solutions to automate manual IT and business processes, while continuously modernizing our software development processes using CI/CD techniques. Requirements: developing machine learning models using Python or TensorFlow with NLP and AI technologies pipelines background in DevOps practices: CI/CD, TDD, SDLC Ownership, growth, and well-being are all encouraged, and they're committed to fostering a strong connected organisation through coaching, mentoring, and continuous learning opportunities. Sounds good? Apply today to be considered!
May 01, 2024
Full time
Principal AI Engineer - HealthTech GenAI & MLOps Hybrid - Woking - 3x a week Up to £85k Seeking a Principal AI Engineer specialising in Automation & GenAI to drive cutting-edge solutions. You'll have the opportunity to work on the forefront of GenAI technology, strategizing, building, and supporting implementations that will enable them to deliver faster and more effectively than ever before. You'll be responsible for building and running GenAI capabilities, ensuring robust support and integration into standard incident processes as the products mature. You'll collaborate with distributed teams across the business to facilitate the consumption of AI/ML capabilities and play a hands-on role in coding, building, governing, and maintaining these solutions. Additionally, you'll design and implement solutions to automate manual IT and business processes, while continuously modernizing our software development processes using CI/CD techniques. Requirements: developing machine learning models using Python or TensorFlow with NLP and AI technologies pipelines background in DevOps practices: CI/CD, TDD, SDLC Ownership, growth, and well-being are all encouraged, and they're committed to fostering a strong connected organisation through coaching, mentoring, and continuous learning opportunities. Sounds good? Apply today to be considered!
Principal Machine Learning Engineer - GenAI LLMs & MLOps Hybrid - Basingstoke - 2/3x a week Up to £85k Looking for a Principal ML Engineer with a focus on Automation & GenAI to lead the development of cutting-edge solutions for a growing, international healthcare company. Your responsibilities will include developing and managing GenAI capabilities, integrating them seamlessly into standard processes as they evolve. Collaboration with teams across the organization will be key as you assist in the adoption of AI/ML capabilities and actively participate in coding, development, governance, and maintenance. Additionally, you'll design and implement solutions to automate manual IT and business processes, while continuously improving our software development practices using CI/CD techniques. Ideal candidates will have: Experience developing machine learning models using Python or TensorFlow Familiarity with NLP and AI technologies, including LLMs Familiarity in building data pipelines Strong background in DevOps practices: CI/CD, TDD, SDLC We prioritize ownership, growth, and well-being, fostering a connected organization through coaching, mentoring, and continuous learning opportunities. If this sounds like the opportunity for you, apply today to be considered!
May 01, 2024
Full time
Principal Machine Learning Engineer - GenAI LLMs & MLOps Hybrid - Basingstoke - 2/3x a week Up to £85k Looking for a Principal ML Engineer with a focus on Automation & GenAI to lead the development of cutting-edge solutions for a growing, international healthcare company. Your responsibilities will include developing and managing GenAI capabilities, integrating them seamlessly into standard processes as they evolve. Collaboration with teams across the organization will be key as you assist in the adoption of AI/ML capabilities and actively participate in coding, development, governance, and maintenance. Additionally, you'll design and implement solutions to automate manual IT and business processes, while continuously improving our software development practices using CI/CD techniques. Ideal candidates will have: Experience developing machine learning models using Python or TensorFlow Familiarity with NLP and AI technologies, including LLMs Familiarity in building data pipelines Strong background in DevOps practices: CI/CD, TDD, SDLC We prioritize ownership, growth, and well-being, fostering a connected organization through coaching, mentoring, and continuous learning opportunities. If this sounds like the opportunity for you, apply today to be considered!
Xpertise is seeking a series of Data Engineers with cloud experience to join a fledgling team in Birmingham. As part of our client's growing engineering division, you will play a pivotal role in leading the data engineering capabilities, working closely with Platform Engineers, Developers, and Analysts. Key details: Salary: £55,000-95,000 (Mid-Lead I'd consider experienced contractors with a rate of £450.00 per day (Outisde IR35) Benefits: Private healthcare + 10% pension + free lunches + international travel opportunities Location: Birmingham; can be remote-based, hybrid working or office-based Future outlook: Vertical and horizontal opportunities: there'll be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired / what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Python development Implement data governance and security best practices to ensure compliance and data integrity. Monitor and troubleshoot data pipelines, ensuring high availability and reliability. CI/CD pipeline automation utilising GitLab DevOps: GKE (Kubernetes), Terraform, Ansible Leadership capabilities: mentorship, management Role overview: If you're eager to collaborate with a driven team of software engineers and accomplished senior leaders while immersing yourself in cutting-edge data, AI, and cloud technologies, then this opportunity is tailor-made for you. With ambitious plans to revolutionise the industry through groundbreaking machine learning and analytics projects, now is the perfect moment to become part of our journey. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.
May 01, 2024
Full time
Xpertise is seeking a series of Data Engineers with cloud experience to join a fledgling team in Birmingham. As part of our client's growing engineering division, you will play a pivotal role in leading the data engineering capabilities, working closely with Platform Engineers, Developers, and Analysts. Key details: Salary: £55,000-95,000 (Mid-Lead I'd consider experienced contractors with a rate of £450.00 per day (Outisde IR35) Benefits: Private healthcare + 10% pension + free lunches + international travel opportunities Location: Birmingham; can be remote-based, hybrid working or office-based Future outlook: Vertical and horizontal opportunities: there'll be an optional structured training programme to progress you onto management, a pathway to become an Architect, and even venture into the world of MLOps/AIOps. Key experience desired / what you will learn: Design, develop, and maintain scalable data pipelines and ETL processes leveraging GCP services such as BigQuery, Dataflow, and Cloud Storage. Architect data models and schemas in BigQuery to support analytics, reporting, and business intelligence initiatives. Python development Implement data governance and security best practices to ensure compliance and data integrity. Monitor and troubleshoot data pipelines, ensuring high availability and reliability. CI/CD pipeline automation utilising GitLab DevOps: GKE (Kubernetes), Terraform, Ansible Leadership capabilities: mentorship, management Role overview: If you're eager to collaborate with a driven team of software engineers and accomplished senior leaders while immersing yourself in cutting-edge data, AI, and cloud technologies, then this opportunity is tailor-made for you. With ambitious plans to revolutionise the industry through groundbreaking machine learning and analytics projects, now is the perfect moment to become part of our journey. Interested? Please apply with your CV and/or message Billy Hall for further details. Xpertise acts as an employment agency.