Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
Apr 11, 2024
Full time
Digital Research Infrastructure Engineer - Linux Specialist
PML operations grade 4 £30000 - £45000 DOE
Full Time
Open Ended Appointment
The Role
We have an exciting opportunity at PML for an individual with skills in Linux system administration to join the PML’s Digital Innovation and Marine Autonomy (DIMA) group. The role provides a business critical link between scientists, PML Applications (commercial work) and our IT Group to support the Linux computing infrastructure as it continues to evolve, underpinning PML science in multiple areas and across all levels. This ranges from data generation, (storage technologies and data management), processing and analysis (high performance computing and technologies such as JupyterHub), to making visual outputs for end users (web technologies and virtualisation) to increase the reach and impact of PML science.
About You
You will enjoy working with others to help deliver a modern and reliable digital infrastructure to underpin the world leading research carried out at PML. You will understand the importance of stability from existing infrastructure but will also be keen to learn and try new technologies. You will have experience of administering Linux systems, ideally using Ubuntu, and will be able to make use of scripts and common tools such as ansible to manage this. You will understand the importance of taking a proactive approach to identify and resolve and problems and will be able to make use of monitoring software (e.g., Nagios, Grafana) to accomplish this. You will understand best practices in cybersecurity and be able to apply these.
Skills Required
Linux systems administration and monitoring
Linux scripting (e.g., bash and Python)
Experience in management of data at the Terrabyte to Petabyte scale and storage technologies such as NFS and S3.
Cybersecurity (Understand and apply best practices)
Container technologies (Docker and Kubernetes)
High performance Computing (Slurm)
Virtualisation (VMWare)
Key Deliverables
Maintain our storage infrastructure to ensure data is distributed across servers based on existing capacity and projected changes in data volumes. This includes regular data moves and liaising with stakeholders to ensure data is backed up and archiving projects are completes as needed.
Monitor high performance computing infrastructure to identify and resolve problems either on their own or by working with IT (depending on the nature of the problem).
Act of a point of contact between scientists and IT to answer questions, help identify solutions and provide training.
Work with the data architect to maintain and develop web infrastructure used to provide existing and planned data search and visualisation services.
Manage the NEODAAS GPU cluster (MAGEO), including liaising with IT, vendors and system users.
About PML
As a marine-focused charity we develop and apply innovative science with a view to ensuring ocean sustainability. With over 40 years of experience, we offer evidence-based solutions to societal challenges. Our impact spans from research publications to informing policies and training future scientists. The science undertaken at PML contributes to UN Sustainable Development Goals by promoting healthy, productive and resilient oceans and seas.
To support PML’s science it operates in house Linux infrastructure used for processing satellite data, running models and making outputs accessible through web visualisation tools. This infrastructure includes a large amount of storage (6 PB), a High-Performance Computing cluster with over 1500 cores, a 40 GPU cluster (the MAssive GPU cluster for Earth Observation; MAGEO) and a virtual machine cluster. The role will be part of the Digital Innovation and Marine Autonomy (DIMA) group within PML. DIMA is a pioneering digital science group dedicated to advancing PML’s world-class and cutting-edge environmental research through the utilisation of state-of-the-art digital and autonomous technologies. The team comprises research software engineers, research infrastructure engineers, marine technologists and scientists who work on a variety of projects using autonomous vessels, satellite data, drones, Artificial Intelligence, High Performance Computing and data visualisation tools to help deliver PML’s goals. The team have an enthusiasm for solving problems through collaboration and shared learning.
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.
Transform the World of Content Creation as an AI Engineer on a 12-month FTC We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform . Based in the vibrant heart of tech innovation, this team is dedicated to reshaping how content is created and consumed. This is an opportunity to influence the future of digital media, integrating cutting-edge AI technologies with human creativity to produce scalable and personalised content. If you thrive in dynamic, forward-thinking environments and are passionate about AI's potential in content creation, this position could be your ideal match! What you'll be doing: As a key member of their AI development team, you will: Design and develop state-of-the-art AI models for content generation and personalisation. Handle a variety of data types , ensuring they are primed for use in their machine learning models. Develop and deploy applications based on Large Language Models , including specialised techniques in Retrieval-Augmented Generation (RAG) . Ensure high performance and scalability of AI solutions on cloud platforms like Azure and AWS. Research and integrate the latest AI advancements to keep their solutions at the industry's forefront. Work closely with cross-functional teams to deliver products that align with their strategic goals. What experience you'll need to apply: Bachelor's or Master's degree in Computer Science, AI, or related field, or equivalent experience. Experience creating LLM & RAG driven applications. Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML Deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding of AI ethics and responsible AI deployment. Innovative thinking and excellent problem-solving abilities. Desirable skills: Experience with cloud infrastructures, especially Azure or AWS. Prior involvement in content-driven AI projects. What you'll get in return for your experience: An attractive salary of £90k with flexible working arrangements, including hybrid options in London or remote possibilities. The opportunity to work on a cutting-edge platform that is setting new standards in the AI domain. Access to continuous learning and development programs to further enhance your skills. A chance to be part of a collaborative and inclusive team environment, where innovation and creativity are valued and encouraged. 12-month initial Fixed Term Contrac t with the possibility to extend. What's next? If you are eager to drive the next generation of AI in content creation and think you fit the bill, we would love to hear from you. Apply with and up-to-date CV and I will be in touch.
May 14, 2024
Full time
Transform the World of Content Creation as an AI Engineer on a 12-month FTC We are excited to offer an opportunity for a highly skilled AI Engineer to enhance a revolutionary Content AI platform . Based in the vibrant heart of tech innovation, this team is dedicated to reshaping how content is created and consumed. This is an opportunity to influence the future of digital media, integrating cutting-edge AI technologies with human creativity to produce scalable and personalised content. If you thrive in dynamic, forward-thinking environments and are passionate about AI's potential in content creation, this position could be your ideal match! What you'll be doing: As a key member of their AI development team, you will: Design and develop state-of-the-art AI models for content generation and personalisation. Handle a variety of data types , ensuring they are primed for use in their machine learning models. Develop and deploy applications based on Large Language Models , including specialised techniques in Retrieval-Augmented Generation (RAG) . Ensure high performance and scalability of AI solutions on cloud platforms like Azure and AWS. Research and integrate the latest AI advancements to keep their solutions at the industry's forefront. Work closely with cross-functional teams to deliver products that align with their strategic goals. What experience you'll need to apply: Bachelor's or Master's degree in Computer Science, AI, or related field, or equivalent experience. Experience creating LLM & RAG driven applications. Proficiency in programming with tools like Python, TensorFlow, and PyTorch. ML Deployment with services like Sagemaker, AzureML, VertexAI etc. A keen understanding of AI ethics and responsible AI deployment. Innovative thinking and excellent problem-solving abilities. Desirable skills: Experience with cloud infrastructures, especially Azure or AWS. Prior involvement in content-driven AI projects. What you'll get in return for your experience: An attractive salary of £90k with flexible working arrangements, including hybrid options in London or remote possibilities. The opportunity to work on a cutting-edge platform that is setting new standards in the AI domain. Access to continuous learning and development programs to further enhance your skills. A chance to be part of a collaborative and inclusive team environment, where innovation and creativity are valued and encouraged. 12-month initial Fixed Term Contrac t with the possibility to extend. What's next? If you are eager to drive the next generation of AI in content creation and think you fit the bill, we would love to hear from you. Apply with and up-to-date CV and I will be in touch.
We're Legend. The team quietly building products that make noise in the most competitive comparison markets in the world. iGaming. Sports Betting. Personal Finance. We exist to build better experiences. From amplified career paths to supercharged online journeys - for our people and our users, we deliver magic rooted in method. With over 500 Legends and counting, we're helping companies turbocharge their brand growth in over 18 countries worldwide. If you're looking for a company with momentum and the opportunity to progress at pace, Legend has it. Unlock the Legend in you. The Role We're in the midst of revolutionising our technology platform, undergoing a comprehensive overhaul of our tech stack, and integrating leading-edge practices in distributed systems and Domain Driven Design. Our objective is to create a versatile white-labeled, multi-tenant platform capable of accommodating the rapid expansion of our distinct brands and enhancing customer experiences across various products. We are seeking a Senior Software Architect to join our Architecture team within the Engineering division. In this role, you will report to the Principal Software Architect and will be tasked with crafting and designing our core products, which play a crucial role in enabling our publishing platforms to reach over 100+ million customers annually worldwide. Your responsibilities will include as an example developing an offer and deal management solution that utilizes insights from customer intent, conversion rates, and behaviours to continuously enhance our engagement strategies through various channels such as paid advertising and SEO. Additionally, you will spearhead the creation of a comprehensive revenue management product to effectively collaborate with our numerous industry partners. Furthermore, you will play a key role in fostering a Product Engineering culture by democratising data access and working closely with our Data teams to optimise our unified Snowflake datalake. This will enable us to gain insights into the performance of both upper and lower funnels, with the ultimate goal of leveraging machine learning models to enhance customer engagement and drive significant commercial value. Success in this role hinges on hands-on involvement and close cooperation with engineering teams, both directly and indirectly, through our Design Review forum. This ensures the integration of best practices and guidelines into each iteration of our capabilities. In this role, we value diverse perspectives and encourage you to apply even if you don't meet every qualification listed. Your Impact: Drive the creation of end to end architectural blueprints, technical designs and solid roadmaps for main capabilities within the platform. Participate in discussions and decision-making processes to drive the evolution of our next-generation platform. Act as a subject matter expert in software engineering principles and practices, guiding the team towards building robust and maintainable solutions and leading by example with hands-on technical contributions. Balance between consistent and homogenous technical solutions and innovation, focusing on product and functional scalability and efficiency. Drive a collaborative Product Engineering culture to architecture and design throughout the engineering chapter. Closely work with key stakeholders around the business to clarify the product vision and enable the engineering organisation to iteratively evolve our components and services and execute on the product vision. Stay abreast of industry trends and emerging technologies to continuously enhance the platform's features and capabilities. What You'll Bring: Experience on large-scale software projects and distributed, highly-available platforms. Track record of strong product mindset to translate product requirements in technical designs, well-defined roadmaps and supporting technical implementations. Extensive experience as a backend software engineer (Node.js/Typescript , Java, C#, PHP, Python), with a track record of applying best design principles and practices (SOLID, design patterns, distributed algorithms, CQRS, event sourcing, ). Excellent design and presentation skills along with proven technical ability. Knowledge of AWS Cloud design principles and infrastructure Knowledge of data meshes. Why Legend? Super smart colleagues to work alongside and learn from. Tailored flexibility for your work-life balance. Annual discretionary bonus to reward your efforts. Paid annual leave PLUS a well-deserved break to recharge your batteries during the festive season! Our offices are closed between Christmas and New Year's, allowing you to enjoy downtime without dipping into your annual allowance. Long term incentive plan so we can all share in the growth and success of Legend. Exciting global Legend events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead! Unlock your full potential by joining the Legend team. To support you on this journey, we provide an extensive array of benefits and perks, as outlined in our global offerings above. For country specific benefits please reach out to your talent partner. Legend is an Equal Opportunity Employer, but that's just the start. We believe different perspectives help us grow and achieve more. That's why we're dedicated to hiring and developing the most talented and diverse team- which includes individuals with different backgrounds, abilities, identities and experiences. If you require any reasonable adjustments throughout your application process, please speak to your Talent Partner or contact the team , and we'll do all we can to support you.
May 14, 2024
Full time
We're Legend. The team quietly building products that make noise in the most competitive comparison markets in the world. iGaming. Sports Betting. Personal Finance. We exist to build better experiences. From amplified career paths to supercharged online journeys - for our people and our users, we deliver magic rooted in method. With over 500 Legends and counting, we're helping companies turbocharge their brand growth in over 18 countries worldwide. If you're looking for a company with momentum and the opportunity to progress at pace, Legend has it. Unlock the Legend in you. The Role We're in the midst of revolutionising our technology platform, undergoing a comprehensive overhaul of our tech stack, and integrating leading-edge practices in distributed systems and Domain Driven Design. Our objective is to create a versatile white-labeled, multi-tenant platform capable of accommodating the rapid expansion of our distinct brands and enhancing customer experiences across various products. We are seeking a Senior Software Architect to join our Architecture team within the Engineering division. In this role, you will report to the Principal Software Architect and will be tasked with crafting and designing our core products, which play a crucial role in enabling our publishing platforms to reach over 100+ million customers annually worldwide. Your responsibilities will include as an example developing an offer and deal management solution that utilizes insights from customer intent, conversion rates, and behaviours to continuously enhance our engagement strategies through various channels such as paid advertising and SEO. Additionally, you will spearhead the creation of a comprehensive revenue management product to effectively collaborate with our numerous industry partners. Furthermore, you will play a key role in fostering a Product Engineering culture by democratising data access and working closely with our Data teams to optimise our unified Snowflake datalake. This will enable us to gain insights into the performance of both upper and lower funnels, with the ultimate goal of leveraging machine learning models to enhance customer engagement and drive significant commercial value. Success in this role hinges on hands-on involvement and close cooperation with engineering teams, both directly and indirectly, through our Design Review forum. This ensures the integration of best practices and guidelines into each iteration of our capabilities. In this role, we value diverse perspectives and encourage you to apply even if you don't meet every qualification listed. Your Impact: Drive the creation of end to end architectural blueprints, technical designs and solid roadmaps for main capabilities within the platform. Participate in discussions and decision-making processes to drive the evolution of our next-generation platform. Act as a subject matter expert in software engineering principles and practices, guiding the team towards building robust and maintainable solutions and leading by example with hands-on technical contributions. Balance between consistent and homogenous technical solutions and innovation, focusing on product and functional scalability and efficiency. Drive a collaborative Product Engineering culture to architecture and design throughout the engineering chapter. Closely work with key stakeholders around the business to clarify the product vision and enable the engineering organisation to iteratively evolve our components and services and execute on the product vision. Stay abreast of industry trends and emerging technologies to continuously enhance the platform's features and capabilities. What You'll Bring: Experience on large-scale software projects and distributed, highly-available platforms. Track record of strong product mindset to translate product requirements in technical designs, well-defined roadmaps and supporting technical implementations. Extensive experience as a backend software engineer (Node.js/Typescript , Java, C#, PHP, Python), with a track record of applying best design principles and practices (SOLID, design patterns, distributed algorithms, CQRS, event sourcing, ). Excellent design and presentation skills along with proven technical ability. Knowledge of AWS Cloud design principles and infrastructure Knowledge of data meshes. Why Legend? Super smart colleagues to work alongside and learn from. Tailored flexibility for your work-life balance. Annual discretionary bonus to reward your efforts. Paid annual leave PLUS a well-deserved break to recharge your batteries during the festive season! Our offices are closed between Christmas and New Year's, allowing you to enjoy downtime without dipping into your annual allowance. Long term incentive plan so we can all share in the growth and success of Legend. Exciting global Legend events, where we unite in person to ignite our shared passion and unveil the exciting strategies for the year ahead! Unlock your full potential by joining the Legend team. To support you on this journey, we provide an extensive array of benefits and perks, as outlined in our global offerings above. For country specific benefits please reach out to your talent partner. Legend is an Equal Opportunity Employer, but that's just the start. We believe different perspectives help us grow and achieve more. That's why we're dedicated to hiring and developing the most talented and diverse team- which includes individuals with different backgrounds, abilities, identities and experiences. If you require any reasonable adjustments throughout your application process, please speak to your Talent Partner or contact the team , and we'll do all we can to support you.
Applied Data Science Partners (ADSP) is an innovative data science and AI consultancy based in London. An exciting opportunity has arisen for a Senior Data Scientist to join us. If you enjoy seeing your work used as part of 'real-life' solutions, this is the perfect role for you. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team of Data Engineers and Data Analysts. We're looking for someone with a personable nature who can unlock significant value for our clients through world-class data science. We look after your personal development with a £1,000 training budget to be spent at your discretion. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data science solutions. If this sounds like you, we can't wait to meet you! The Role As a Data Scientist you will: • Train and deploy state-of-the-art machine learning & reinforcement learning models • Build processes for extracting, cleaning and transforming data (SQL / Python) • Ad-hoc data mining for insights using Python + Jupyter notebooks • Presenting insights and predictions in live dashboards using Tableau / PowerBI • Design solutions that meet business objectives • Present back findings to clients through written documentation, calls and presentations • Actively seek out new opportunities to learn and develop • Adopt modern data science best-practice Required Skills • A numerate degree • Excellent scripting and programming ability in Python • Experienced in applying machine learning techniques (e.g. xgboost, regression, decision trees) • Experience in an area of advanced machine learning (e.g. LLMs, reinforcement learning, diffusion models, etc.) • SQL and experience with databases (SQL Server, Postgres etc) • Good understanding of statistics and probability • Willingness to learn new techniques • Excellent communication skills • An eye for detail • A love of puzzle solving
May 14, 2024
Full time
Applied Data Science Partners (ADSP) is an innovative data science and AI consultancy based in London. An exciting opportunity has arisen for a Senior Data Scientist to join us. If you enjoy seeing your work used as part of 'real-life' solutions, this is the perfect role for you. Not only will your work directly contribute to our client deliverables, but you will have the opportunity to see the process through from solution design to deployment, working in close collaboration with our wider team of Data Engineers and Data Analysts. We're looking for someone with a personable nature who can unlock significant value for our clients through world-class data science. We look after your personal development with a £1,000 training budget to be spent at your discretion. In short, you'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data science solutions. If this sounds like you, we can't wait to meet you! The Role As a Data Scientist you will: • Train and deploy state-of-the-art machine learning & reinforcement learning models • Build processes for extracting, cleaning and transforming data (SQL / Python) • Ad-hoc data mining for insights using Python + Jupyter notebooks • Presenting insights and predictions in live dashboards using Tableau / PowerBI • Design solutions that meet business objectives • Present back findings to clients through written documentation, calls and presentations • Actively seek out new opportunities to learn and develop • Adopt modern data science best-practice Required Skills • A numerate degree • Excellent scripting and programming ability in Python • Experienced in applying machine learning techniques (e.g. xgboost, regression, decision trees) • Experience in an area of advanced machine learning (e.g. LLMs, reinforcement learning, diffusion models, etc.) • SQL and experience with databases (SQL Server, Postgres etc) • Good understanding of statistics and probability • Willingness to learn new techniques • Excellent communication skills • An eye for detail • A love of puzzle solving
Senior Machine Learning Engineer Remote / WFH. This hugely successful software solutions company seeks a Senior Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux, CI/CD pipelines, Terraform. Senior ML Learning Engineer - the company and role: It's a great time to join the team. The company delivers a range of enterprise level solutions. It's well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a lead role, in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you: Senior ML Learning Engineer - the environment: Senior ML Learning Engineer - desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud - AWS, Google Cloud, Azure, and a knowledge of secure coding techniques - PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £75,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
May 14, 2024
Full time
Senior Machine Learning Engineer Remote / WFH. This hugely successful software solutions company seeks a Senior Machine Learning Software Engineer to join their established AI team. Python, AI, Machine Learning, NLP, Linux, CI/CD pipelines, Terraform. Senior ML Learning Engineer - the company and role: It's a great time to join the team. The company delivers a range of enterprise level solutions. It's well-established, has a great people culture (with very high employee engagement and retention rates), has grown 50% in the last 5 years alone, and has plans to scale up to £100mil in the next 5 years! Working in a lead role, in a multi-discipline team, focusing on complex, large scale AI projects, this exciting new role will see you: Senior ML Learning Engineer - the environment: Senior ML Learning Engineer - desirable skills: Version control (Git), computer vision libraries, Big Data (Hadoop, Spark), Cloud - AWS, Google Cloud, Azure, and a knowledge of secure coding techniques - PCI-DSS, PA-DSS, ISO27001. This is a fantastic opportunity to join a company that fosters growth and in particular a team that offers an exciting and collaborative environment to work in. Salary to £75,000 + range of benefits. Job offer subject to security background checks. Services advertised by Dupen are those of an Agency.
As Google Cloud's premier partner in AI, Datatonic provides world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies. Our team consists of experts in machine learning, data science, software engineering, mathematics, and design. We share a passion for data & analysis, operate at the cutting edge, and believe in a pragmatic approach to solving hard problems. THE ROLE As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes. Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements. To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud. Your responsibilities will include: Taking vague requirements and translating them into models that solve real-world problems Running machine learning experiments using a programming language with machine learning libraries. Optimizing solutions for performance and scalability. Implementing custom machine learning code. Data engineering, i.e. ensuring a good data flow between database and backend systems. Data science, i.e. analyzing data and coming up with use cases MLOps, i.e. automating ML workflows with testing, reproducibility and metadata/feature storage; Designing ML architectures on Google Cloud Requirementa 1-3 years experience as an ML Engineer, ideally from a consulting background. This candidate should be comfortable working with python as a backend language, delivering code in well-tested CI/CD pipelines. Familiarity with cloud environments (Google Cloud, AWS, Azure). Experience with Software Engineering. Good knowledge of SQL. Knowledge of scaling up computations (GPUs, distributed computing, ). Familiarity exposing ML components through web services or wrappers (e.g. Flask in Python). Strong communication and presentation skills. Benefits: The Basics: 25 days holiday + bank holidays, Private Healthcare, Discounted Gym Membership (Nuffield + Hussle), Life Insurance, Income Protection, Employee Assistance Program, Pension Scheme 3% employee contribution on qualifying earnings, rising 1% per year of service to max 10%. Extras: £100 home equipment allowance, Cycle to Work & Tech Scheme Learning: Datatonic encourages continuous learning at all levels, with the freedom to explore the latest tools & technologies. You will receive an individual training budget and/or conference allowance Team: Career Development, Impact, Innovation. A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression. Experiment and bring forward ideas, create impactful and meaningful work in a creative & collaborative environment - even just for fun! Office: A modern, collaborative, working space set in the innovation hub of Canary Wharf with panoramic views of London. Plus regular social events & team off-sites. Datatonic is an equal-opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, colour, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. Our current team is made up of folks from very different backgrounds, including a former librarian, oceanographer and comic bookstore owner! If you are on the fence about whether you meet our requirements, we encourage you to apply anyway. Please reach out to us directly at if you need assistance or accommodation due to disability.
May 14, 2024
Full time
As Google Cloud's premier partner in AI, Datatonic provides world-class businesses with cutting-edge data solutions in the cloud. We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. With Google Cloud as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies. Our team consists of experts in machine learning, data science, software engineering, mathematics, and design. We share a passion for data & analysis, operate at the cutting edge, and believe in a pragmatic approach to solving hard problems. THE ROLE As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes. Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements. To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud. Your responsibilities will include: Taking vague requirements and translating them into models that solve real-world problems Running machine learning experiments using a programming language with machine learning libraries. Optimizing solutions for performance and scalability. Implementing custom machine learning code. Data engineering, i.e. ensuring a good data flow between database and backend systems. Data science, i.e. analyzing data and coming up with use cases MLOps, i.e. automating ML workflows with testing, reproducibility and metadata/feature storage; Designing ML architectures on Google Cloud Requirementa 1-3 years experience as an ML Engineer, ideally from a consulting background. This candidate should be comfortable working with python as a backend language, delivering code in well-tested CI/CD pipelines. Familiarity with cloud environments (Google Cloud, AWS, Azure). Experience with Software Engineering. Good knowledge of SQL. Knowledge of scaling up computations (GPUs, distributed computing, ). Familiarity exposing ML components through web services or wrappers (e.g. Flask in Python). Strong communication and presentation skills. Benefits: The Basics: 25 days holiday + bank holidays, Private Healthcare, Discounted Gym Membership (Nuffield + Hussle), Life Insurance, Income Protection, Employee Assistance Program, Pension Scheme 3% employee contribution on qualifying earnings, rising 1% per year of service to max 10%. Extras: £100 home equipment allowance, Cycle to Work & Tech Scheme Learning: Datatonic encourages continuous learning at all levels, with the freedom to explore the latest tools & technologies. You will receive an individual training budget and/or conference allowance Team: Career Development, Impact, Innovation. A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression. Experiment and bring forward ideas, create impactful and meaningful work in a creative & collaborative environment - even just for fun! Office: A modern, collaborative, working space set in the innovation hub of Canary Wharf with panoramic views of London. Plus regular social events & team off-sites. Datatonic is an equal-opportunity employer. We're committed to building an inclusive team that welcomes a diversity of perspectives, people, and backgrounds regardless of race, colour, national origin, gender, sexual orientation, age, religion, disability, citizenship, veteran status, or any other protected status. Our current team is made up of folks from very different backgrounds, including a former librarian, oceanographer and comic bookstore owner! If you are on the fence about whether you meet our requirements, we encourage you to apply anyway. Please reach out to us directly at if you need assistance or accommodation due to disability.
At Dexory, we believe that real time data will revolutionise the logistics industry. We are building a platform that provides companies with real time access to their operations. Our autonomous robotics technology combined with our data insights platform help our customers to measure, track and find goods across warehouses in real time, and to build the ultimate digital twin of their facilities. To make this happen, we want to find people driven by passion and curiosity to join us. We work on complex technical systems, but we don't just need your technical skills - we want to find people who care about what they are building, and about working as a team in a challenging environment to deliver innovative solutions that impact one of the most important global industries. In this role you will have the opportunity to transform your ideas into tangible products and services, pushing the boundaries of technology and user experience. If you're a passionate technologist, but also see yourself as an innovative problem solver and a team player, then this is the opportunity for you. We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture. What does this role involve? As a Senior Robotics Perception Engineer (Vision), you will be responsible for developing and implementing perception algorithms and systems for our robots that do not rely on landmarks or any external scaffolding, but instead operate fully autonomously. You will therefore play a critical role enabling our autonomous robots to perceive and understand their environment, enabling them to interact intelligently and autonomously. The main focus of this role would be to develop detection of obstacles and objects in general, as well as scene recognition in a warehouse environment. Responsibilities You will be helping improve & test our existing visual perception, improving perception capabilities of warehouse specific objects and enhancing the robustness and reliability of said systems. Your work on computer vision will have a direct impact on our sensor fusion, obstacle avoidance, navigation, object detection and tracking, and on our simultaneous localization and mapping (SLAM). You will also participate in the development of sensor selection and integration strategies, ensuring the optimal utilization of various sensors such as RGB(D) cameras. In addition, you will contribute to the design, implementation and integration of visual perception with a strong focus on time-critical robustness and the time criticality for constraint systems. Day-to-day work will include developing, testing, improving, and deploying perception systems tailored specifically for the purpose of moving autonomously based on classical computer vision using, e.g., openCV or machine learning models for semantic segmentation, surface estimation or feature extraction (were possible). In the beginning, our focus will be strongly on reliability and we prefer classical "robotics computer vision" over machine learning. You will need: 5+ years experience in robotics or IoT projects (industry or applied research competitions), where you show strong expertise in: Hands-on experience in integrating and testing of RGB(D) cameras or 3D lidars commonly used in autonomous systems Programming languages such as modern C++, Python Developing, testing, and deploying state-of-the-art perception algorithms, such as visual odometry, obstacle detection for mobile robots, and general object detection Using state-of the-art computer vision frameworks that can be applied to mobile robots Applying linear algebra Classical "robotics computer vision" , i.e., extracting objects from an image Real-time systems, embedded platforms, and optimization for resource-constrained platforms Preferred Qualifications: Familiarity with robot operating systems (ROS 2) and experience developing perception modules within ROS 2 Experience working with autonomous robots more generally in research or industry settings Open-source contributions, ideally for projects tackling robotics perception Please mark in your CV the areas that indicate your fit the most. Culture and benefits As a company, we're still in the early phase of our life. We're a small team for the quality and complexity of the products we are building, but we have a great platform in an advanced stage of development - and as an early engineering hire, you'll play a significant role in shaping the future of our engineering culture. We have a strong focus on building a culture of openness, collaboration, and high performance, but want to ensure a sustainable pace of delivery. We are a friendly team with our own office, workshop, and warehouse spaces in London and Oxfordshire. We welcome applications from candidates across the UK - however, the nature of our work with hardware means that some on-site visits are required, and you'll need to visit at least once a month. You'll receive a market-rate salary, stock options, as well as an annual training and conference budget. AAP/EEO Statement Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
May 14, 2024
Full time
At Dexory, we believe that real time data will revolutionise the logistics industry. We are building a platform that provides companies with real time access to their operations. Our autonomous robotics technology combined with our data insights platform help our customers to measure, track and find goods across warehouses in real time, and to build the ultimate digital twin of their facilities. To make this happen, we want to find people driven by passion and curiosity to join us. We work on complex technical systems, but we don't just need your technical skills - we want to find people who care about what they are building, and about working as a team in a challenging environment to deliver innovative solutions that impact one of the most important global industries. In this role you will have the opportunity to transform your ideas into tangible products and services, pushing the boundaries of technology and user experience. If you're a passionate technologist, but also see yourself as an innovative problem solver and a team player, then this is the opportunity for you. We value humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture. What does this role involve? As a Senior Robotics Perception Engineer (Vision), you will be responsible for developing and implementing perception algorithms and systems for our robots that do not rely on landmarks or any external scaffolding, but instead operate fully autonomously. You will therefore play a critical role enabling our autonomous robots to perceive and understand their environment, enabling them to interact intelligently and autonomously. The main focus of this role would be to develop detection of obstacles and objects in general, as well as scene recognition in a warehouse environment. Responsibilities You will be helping improve & test our existing visual perception, improving perception capabilities of warehouse specific objects and enhancing the robustness and reliability of said systems. Your work on computer vision will have a direct impact on our sensor fusion, obstacle avoidance, navigation, object detection and tracking, and on our simultaneous localization and mapping (SLAM). You will also participate in the development of sensor selection and integration strategies, ensuring the optimal utilization of various sensors such as RGB(D) cameras. In addition, you will contribute to the design, implementation and integration of visual perception with a strong focus on time-critical robustness and the time criticality for constraint systems. Day-to-day work will include developing, testing, improving, and deploying perception systems tailored specifically for the purpose of moving autonomously based on classical computer vision using, e.g., openCV or machine learning models for semantic segmentation, surface estimation or feature extraction (were possible). In the beginning, our focus will be strongly on reliability and we prefer classical "robotics computer vision" over machine learning. You will need: 5+ years experience in robotics or IoT projects (industry or applied research competitions), where you show strong expertise in: Hands-on experience in integrating and testing of RGB(D) cameras or 3D lidars commonly used in autonomous systems Programming languages such as modern C++, Python Developing, testing, and deploying state-of-the-art perception algorithms, such as visual odometry, obstacle detection for mobile robots, and general object detection Using state-of the-art computer vision frameworks that can be applied to mobile robots Applying linear algebra Classical "robotics computer vision" , i.e., extracting objects from an image Real-time systems, embedded platforms, and optimization for resource-constrained platforms Preferred Qualifications: Familiarity with robot operating systems (ROS 2) and experience developing perception modules within ROS 2 Experience working with autonomous robots more generally in research or industry settings Open-source contributions, ideally for projects tackling robotics perception Please mark in your CV the areas that indicate your fit the most. Culture and benefits As a company, we're still in the early phase of our life. We're a small team for the quality and complexity of the products we are building, but we have a great platform in an advanced stage of development - and as an early engineering hire, you'll play a significant role in shaping the future of our engineering culture. We have a strong focus on building a culture of openness, collaboration, and high performance, but want to ensure a sustainable pace of delivery. We are a friendly team with our own office, workshop, and warehouse spaces in London and Oxfordshire. We welcome applications from candidates across the UK - however, the nature of our work with hardware means that some on-site visits are required, and you'll need to visit at least once a month. You'll receive a market-rate salary, stock options, as well as an annual training and conference budget. AAP/EEO Statement Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
May 14, 2024
Full time
At Kpler, we simplify global trade information and provide valuable insights. Founded in 2014, our goal is to help over 10,000 organisations by offering the best intelligence on commodities, energy, and maritime through a single platform. Working at Kpler means you'll be a key player in turning complex data into strategic resources for our clients. Your role involves creating data-driven stories that empower clients in their industries. Your expertise helps Kpler navigate markets successfully. Your journey starts here, where innovation meets impact. Join our team of 500+ talented people from 35+ countries worldwide. Purpose of the role: Maritime domain awareness involves the effective fusion of fragmented pieces of information that compose the complex maritime landscape. Vessel tracking data and trading history, satellite imagery, sanction lists and OSINT comprise some of the data sources which, when combined efficiently, provide an understanding of events that take place at ports and in open seas. Rapidly evolving global geopolitical developments and tensions greatly affect trading, disturbing the supply chain and altering the patterns of shipping activity. As a senior data scientist with Kpler's risk and compliance team you will develop algorithms that will detect deviations from normal maritime activity and will discriminate trivial abnormalities from those that imply deceptive shipping practices. This venture requires dealing with high volumes of dispersed and often highly imbalanced data. Some of the exciting projects you will work on include: Driving the design, rapid experimentation, development, testing and deployment of models for maritime anomaly detection and risk assessment. Optimising and fine-tuning models in production, overseeing the continuous monitoring of deployed models, effectively handling model and data drifts in a timely manner. Building robust pipelines for integrating data from diverse sources, including big geospatial data, mobility data, noisy sensor data, tabular data. Researching and identifying methods, data sources, features that will drive business impact in the scope of maritime risk and compliance. As a senior data scientist, you will: Devise efficient solutions to tackle ML/Big Data challenges using relevant and up-to-date methods and technologies. Work across the stack to deliver new features end to end. Ensure optimal, cost-effective design decisions that improve performance and overcome scalability limits. Own meaningful parts of our service, demonstrating the ability to lead projects independently, have an impact, and grow with the company. Identify opportunities for novel projects and liaise with product teams to advance ideas into value-adding features. Actively share knowledge and document insights, effectively communicate complex concepts and analyses to technical and non-technical audiences, aiming to support continuous team improvement and drive collaboration. Act as a mentor for our junior data scientists, helping to accelerate their growth; you will act as the Tech Lead on some projects. Be part of a vibrant Machine Learning community in Kpler, tackling the whole spectrum of ML problems. Our Machine Learning tech stack includes: Python, ML libraries (TensorFlow, pytorch, scikit-learn, transformers, XGBoost, ResNet), geospatial libraries (shapely, geopandas, rasterio), CV libraries (scikit-image, OpenCV, yolo, Detectron2). AWS, Postgres, Apache Airflow, Apache kafka, Apache Spark. Mandatory requirements: You have at least 5 years of experience in DS role, deploying models into production; You have proven experience delivering end-to-end ML solutions that produced business value. You have proven experience with big data technologies, specifically Spark and Kafka You are proficient in Python. You have expert knowledge of at least one cloud computing platform (preferably aws). You are fluent in English. Nice to haves but not mandatory: You have expertise on applications with focus on geospatial data and mobility analytics (highly desirable). You have a Ph. D. in a quantitative field (computer science, mathematics, physics, engineering ). You are familiar with the shipping industry and/or commodity trading. You are comfortable with software engineering best practices. You value code simplicity, performance and attention to detail. You have experience working in an international environment. We're a dynamic company dedicated to nurturing connections and innovating solutions that tackle market challenges head-on. If you're driven by customer satisfaction and thrive on turning ideas into reality, then you've found your ideal destination. Are you prepared to embark on this exciting journey with us? we make things happen We act decisively and with purpose, and we like to go the extra mile. we build together We foster relationships and develop creative solutions to address market challenges with cool features and solutions. hey, how can i help you today? Being accessible and supportive to colleagues and clients with a friendly approach is essential. Our People Pledge Don't meet every single requirement? Research shows that women and people of color are less likely than others to apply if they feel like they don't match 100% of the job requirements. Don't let the confidence gap stand in your way, we'd love to hear from you! We understand that experience comes in many different forms and are dedicated to adding new perspectives to the team. Kpler is committed to providing a fair, inclusive and diverse work-environment. We believe that different perspectives lead to better ideas, and better ideas allow us to better understand the needs and interests of our diverse, global community. We welcome people of different backgrounds, experiences, abilities and perspectives and are an equal opportunity employer. By applying, I confirm that I have read and accept the Staff Privacy Notice
The Opportunity Algolia is the world's most comprehensive search and discovery company. The core of discovery is recommendation. While Algolia's history with Search is based on users pulling content with queries, Recommend aims at pushing content to them, without any particular explicit trigger. Using our recommendation platform means any business can take advantage of next-gen AI and ML technologies to create great online customer experiences. Our platform can be customized to any companys' unique business needs and instantly delivers precise, session-based recommendations. It's designed to be easily integrated into existing infrastructure and software and doesn't require constant and costly API and software updates. Recommendations generate more engagement from users (e.g. the success of feeds like TikTok demonstrate the power of pushing contents). Finally, Recommend completes the discovery experience by filling areas that would not otherwise be filled with search. As Product Manager for the Recommend team: You will play a pivotal role in owning and architecting our Recommend product, and play a central role in the future of discovery at Algolia You will be in the driver's seat to innovate in the multi-billion dollar market eCommerce industry The Team The Recommend group is a remote first, multicultural team that believes our diversity should match the world around us. We are looking for a Senior Product Manager who can build the roadmap, drive execution, and help to define the vision of the product in that space. Additionally, you will work cross functionally with other teams creating delightful moments for our customers. YOUR ROLE WILL CONSIST OF: Develop a deep understanding of customer needs in the Recommendation space and identify what we can build to enable them. Own, define, and communicate the roadmap of the Recommend team with all key stakeholders. Directly influence the vision and strategy. Build processes to deliver AI-driven solutions that satisfy the needs of our customers Collaborate with UX design efforts supporting product iterations of our dashboard as well as integrated platforms Collaborate with engineering and machine learning teams to master the specifications of our AI platform and APIs, and lead technical product development and integrations initiatives Assist the engineering manager to assess product development sprints and enhancement opportunities, monitor progress and evaluate results Build and nurture an agile and innovative product culture within the team, founded on the importance of continuous and rapid prototyping and learning Uses analytical and quantitative skills to manage the business 'by the numbers' Develop budgets, forecasts, and metrics Drive innovative ideas, solutions and products through leadership and decisive action Understand the evolving competitive landscape and identify potential strategic partnerships for complementary product offerings YOU MIGHT BE A FIT IF YOU HAVE: 5 years experience in B2B product management Demonstrated success in shipping and iterating on products within an agile software development environment An ability to work with engineering, design, product marketing, GTM sales, and customer support to help launch new products and support existing ones. Ability to understand technical business problems, craft effective strategies to tackle them, and present simple solutions to our customers Outstanding written and verbal communication skills Extremely well organized with the ability to balance multiple concurrent priorities in a fast-paced and dynamic startup environment Good-to-have familiarity with ML/AI technologies Nice-to-have familiarity with search and recommendation engines and technologies Nice-to-have good understanding of the eCommerce industry trends and ecosystems Experience writing code - for fun, college, or work - is a plus. We are looking for someone with a technical bent to communicate with our internal engineers and engineering management, as well as our engineering-focused customers. Preference for candidates with experience at our current stage and beyond (over 10,000 customers, $200-500M ARR range, high growth, lots of change and building internal infrastructure). We're looking for someone who can live our values: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment TRUST - Willingness to trust our co-workers and to take ownership CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients, and the decisions we make in the company. HUMILITY- Aptitude for learning from others, putting ego aside.
May 14, 2024
Full time
The Opportunity Algolia is the world's most comprehensive search and discovery company. The core of discovery is recommendation. While Algolia's history with Search is based on users pulling content with queries, Recommend aims at pushing content to them, without any particular explicit trigger. Using our recommendation platform means any business can take advantage of next-gen AI and ML technologies to create great online customer experiences. Our platform can be customized to any companys' unique business needs and instantly delivers precise, session-based recommendations. It's designed to be easily integrated into existing infrastructure and software and doesn't require constant and costly API and software updates. Recommendations generate more engagement from users (e.g. the success of feeds like TikTok demonstrate the power of pushing contents). Finally, Recommend completes the discovery experience by filling areas that would not otherwise be filled with search. As Product Manager for the Recommend team: You will play a pivotal role in owning and architecting our Recommend product, and play a central role in the future of discovery at Algolia You will be in the driver's seat to innovate in the multi-billion dollar market eCommerce industry The Team The Recommend group is a remote first, multicultural team that believes our diversity should match the world around us. We are looking for a Senior Product Manager who can build the roadmap, drive execution, and help to define the vision of the product in that space. Additionally, you will work cross functionally with other teams creating delightful moments for our customers. YOUR ROLE WILL CONSIST OF: Develop a deep understanding of customer needs in the Recommendation space and identify what we can build to enable them. Own, define, and communicate the roadmap of the Recommend team with all key stakeholders. Directly influence the vision and strategy. Build processes to deliver AI-driven solutions that satisfy the needs of our customers Collaborate with UX design efforts supporting product iterations of our dashboard as well as integrated platforms Collaborate with engineering and machine learning teams to master the specifications of our AI platform and APIs, and lead technical product development and integrations initiatives Assist the engineering manager to assess product development sprints and enhancement opportunities, monitor progress and evaluate results Build and nurture an agile and innovative product culture within the team, founded on the importance of continuous and rapid prototyping and learning Uses analytical and quantitative skills to manage the business 'by the numbers' Develop budgets, forecasts, and metrics Drive innovative ideas, solutions and products through leadership and decisive action Understand the evolving competitive landscape and identify potential strategic partnerships for complementary product offerings YOU MIGHT BE A FIT IF YOU HAVE: 5 years experience in B2B product management Demonstrated success in shipping and iterating on products within an agile software development environment An ability to work with engineering, design, product marketing, GTM sales, and customer support to help launch new products and support existing ones. Ability to understand technical business problems, craft effective strategies to tackle them, and present simple solutions to our customers Outstanding written and verbal communication skills Extremely well organized with the ability to balance multiple concurrent priorities in a fast-paced and dynamic startup environment Good-to-have familiarity with ML/AI technologies Nice-to-have familiarity with search and recommendation engines and technologies Nice-to-have good understanding of the eCommerce industry trends and ecosystems Experience writing code - for fun, college, or work - is a plus. We are looking for someone with a technical bent to communicate with our internal engineers and engineering management, as well as our engineering-focused customers. Preference for candidates with experience at our current stage and beyond (over 10,000 customers, $200-500M ARR range, high growth, lots of change and building internal infrastructure). We're looking for someone who can live our values: GRIT - Problem-solving and perseverance capability in an ever-changing and growing environment TRUST - Willingness to trust our co-workers and to take ownership CANDOR - Ability to receive and give constructive feedback. CARE - Genuine care about other team members, our clients, and the decisions we make in the company. HUMILITY- Aptitude for learning from others, putting ego aside.
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders-empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives that question the status quo and spark change. BCG delivers solutions through leading-edge management consulting, technology and design, and corporate and digital ventures. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, fueled by the goal of helping our clients thrive and enabling them to make the world a better place. BCG X BCG X is the tech build & design unit of BCG. Turbocharging BCG's deep industry and functional expertise, BCG X brings together advanced tech knowledge and ambitious entrepreneurship to help organizations enable innovation at scale. With nearly 3,000 technologists, scientists, programmers, engineers, and human-centered designers located across 80+ cities, BCG X builds and designs platforms and software to address the world's most important challenges and opportunities. Teaming across our practices, and in close collaboration with our clients, our end-to-end global team unlocks new possibilities. Together we're creating the bold and disruptive products, services, and businesses of tomorrow. Practice Area Profile What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Lead Data Scientist in our insurance practice, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across the insurance sector to drive significant business impact. We help companies identify and develop growth opportunities that reshape the future of the insurance industry. As a core member of BCG X you will also take a larger and more proactive role in shaping the strategy of BCG X - and of BCG overall. You will work closely with partners & managing directors to drive our company's growth & business development. Additional responsibilities will include developing and delivering thought leadership, managing teams of data scientists, engineers, designers. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are seeking a strong candidate with significant experience in the insurance sector and advanced analytics to fill an exciting Lead Data Scientist position within BCG X. The Lead Data Scientist is expected to be a recognized expert in data science and will manage a team of data scientists and engineers to build innovative new products and analytics solutions in BCG's fast growing insurance practice. Successful candidates possess the following: • Comfortable in a client-facing role, manage engagements, client relationships, provide "thought leadership" to teams • Explain sophisticated data science concepts in an understandable manner and act as interface between business & tech • Likes to distill complex results or processes into simple, clear visualizations • Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data • Solid understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our insurance clients • Have strong project management skills What You'll Bring (Experience & Qualifications) • 7+ years of relevant industry work experience in an Insurance company or Insurtech Startup providing advanced analytics solutions • Advanced degree required in a field linked to business analytics, statistics or geo- statistics, operations research, geography, applied mathematics, computer science, engineering, or related field • Strong record of professional accomplishment and leadership • Looking for individuals with deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment • Demonstrated ability to lead and manage projects and teams • Proven ability to drive topics and make a commercial impact in the insurance sector • Fluency in at least one coding language (Python)
May 14, 2024
Full time
Who We Are Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we work closely with clients to embrace a transformational approach aimed at benefiting all stakeholders-empowering organizations to grow, build sustainable competitive advantage, and drive positive societal impact. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives that question the status quo and spark change. BCG delivers solutions through leading-edge management consulting, technology and design, and corporate and digital ventures. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, fueled by the goal of helping our clients thrive and enabling them to make the world a better place. BCG X BCG X is the tech build & design unit of BCG. Turbocharging BCG's deep industry and functional expertise, BCG X brings together advanced tech knowledge and ambitious entrepreneurship to help organizations enable innovation at scale. With nearly 3,000 technologists, scientists, programmers, engineers, and human-centered designers located across 80+ cities, BCG X builds and designs platforms and software to address the world's most important challenges and opportunities. Teaming across our practices, and in close collaboration with our clients, our end-to-end global team unlocks new possibilities. Together we're creating the bold and disruptive products, services, and businesses of tomorrow. Practice Area Profile What You'll Do Our BCG X teams own the full analytics value-chain end to end: framing new business challenges, designing innovative algorithms, implementing, and deploying scalable solutions, and enabling colleagues and clients to fully embrace AI. Our product offerings span from fully custom-builds to industry specific leading edge AI software solutions. As a Lead Data Scientist in our insurance practice, you'll be part of our rapidly growing team. You'll have the chance to apply data science methods and analytics to real-world business situations across the insurance sector to drive significant business impact. We help companies identify and develop growth opportunities that reshape the future of the insurance industry. As a core member of BCG X you will also take a larger and more proactive role in shaping the strategy of BCG X - and of BCG overall. You will work closely with partners & managing directors to drive our company's growth & business development. Additional responsibilities will include developing and delivering thought leadership, managing teams of data scientists, engineers, designers. Successful candidates are intellectually curious builders who are biased toward action, scrappy, and communicative. We are seeking a strong candidate with significant experience in the insurance sector and advanced analytics to fill an exciting Lead Data Scientist position within BCG X. The Lead Data Scientist is expected to be a recognized expert in data science and will manage a team of data scientists and engineers to build innovative new products and analytics solutions in BCG's fast growing insurance practice. Successful candidates possess the following: • Comfortable in a client-facing role, manage engagements, client relationships, provide "thought leadership" to teams • Explain sophisticated data science concepts in an understandable manner and act as interface between business & tech • Likes to distill complex results or processes into simple, clear visualizations • Significant experience applying advanced analytics to a variety of business situations and a proven ability to synthesize complex data • Solid understanding of modern machine learning techniques and their mathematical underpinnings, and can translate this into business implications for our insurance clients • Have strong project management skills What You'll Bring (Experience & Qualifications) • 7+ years of relevant industry work experience in an Insurance company or Insurtech Startup providing advanced analytics solutions • Advanced degree required in a field linked to business analytics, statistics or geo- statistics, operations research, geography, applied mathematics, computer science, engineering, or related field • Strong record of professional accomplishment and leadership • Looking for individuals with deep technical and data science expertise, acute strategic and analytical skills, ability to lead and persuade, drive and energy, and desire to work in a project-based environment • Demonstrated ability to lead and manage projects and teams • Proven ability to drive topics and make a commercial impact in the insurance sector • Fluency in at least one coding language (Python)
Azure Head of Data Engineering Salary- 90,000 - 110,000 + Excellent benefits Location - Birmingham/Hybrid Key skills - Azure - Databricks - Data factory - Data Lakes - Synapse - Modelling - Agile Role purpose: We are actively seeking a dynamic professional to play a pivotal role in the organisation and contributing to the exciting digital transformation journey. Reporting directly to the Chief Data Officer, you will lead team of skilled data engineers to architect, build, and maintain a new data lakehouse solution and pipelines that drive our digital transformation initiatives and support business reporting requirements. You will be responsible for overseeing all aspects of data engineering, from strategy to implementing cutting-edge technologies like Microsoft and Databricks and will enjoy being hands-on. Collaborating with leaders in the business, Analytics, Data Governance, Data Science and AI, you will be instrumental in reshaping our data landscape. This role presents a unique chance to influence cultural change, foster collaboration, and lead the growth of a dedicated team. Key Responsibilities: Define and drive the data engineering strategy and technical roadmap in alignment with the company's digital transformation goals. Lead and mentor a team of data engineers to design, develop, and deploy data pipelines and solutions that meet business needs. Lead the development of the new solution with a small team, whilst being hands-on. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. Work with colleagues to establish and enforce best practices for data architecture, data modelling, and data governance. Drive innovation by evaluating and implementing new tools, technologies, and processes to improve data engineering efficiency and effectiveness. Ensure data governance, security, privacy, and compliance with regulatory requirements in all data engineering activities. Create comprehensive documentation for ETL processes, data schemas and ensure documentation is up-to-date and accessible to relevant stakeholders. Technical / Professional Qualifications / Requirements: Significant Microsoft Azure stack experience is a must: Data Lake, Data Factory, Synapse, Databricks, Power BI Extensive experience in data engineering and in a leadership or management position. Strong in delivering solutions, on time and within budget. Hands-on experience with Microsoft Azure services and Databricks for building and managing data solutions at scale. Proven track record of leading successful digital transformation initiatives involving data engineering and analytics. Strong background in data warehousing, data architecture, data modelling, integration, ETL/ELT processes Excellent leadership and communication skills with the ability to inspire and motivate teams. Experience working in Agile/Scrum environments Experience with DevOps practices and CI/CD pipelines Expert in SQL and good experience in Python Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. Number of direct reports 5+ Geographic area of impact Global Size of budget N/a Key stakeholdersBusiness stakeholders, Analytics, Data Governance & Quality, Data Science, Data Ops
May 13, 2024
Full time
Azure Head of Data Engineering Salary- 90,000 - 110,000 + Excellent benefits Location - Birmingham/Hybrid Key skills - Azure - Databricks - Data factory - Data Lakes - Synapse - Modelling - Agile Role purpose: We are actively seeking a dynamic professional to play a pivotal role in the organisation and contributing to the exciting digital transformation journey. Reporting directly to the Chief Data Officer, you will lead team of skilled data engineers to architect, build, and maintain a new data lakehouse solution and pipelines that drive our digital transformation initiatives and support business reporting requirements. You will be responsible for overseeing all aspects of data engineering, from strategy to implementing cutting-edge technologies like Microsoft and Databricks and will enjoy being hands-on. Collaborating with leaders in the business, Analytics, Data Governance, Data Science and AI, you will be instrumental in reshaping our data landscape. This role presents a unique chance to influence cultural change, foster collaboration, and lead the growth of a dedicated team. Key Responsibilities: Define and drive the data engineering strategy and technical roadmap in alignment with the company's digital transformation goals. Lead and mentor a team of data engineers to design, develop, and deploy data pipelines and solutions that meet business needs. Lead the development of the new solution with a small team, whilst being hands-on. Collaborate with cross-functional teams to understand requirements and translate them into technical solutions. Architect and implement data platforms using Microsoft and Databricks technologies to support analytics, AI, machine learning, and other data-driven applications. Work with colleagues to establish and enforce best practices for data architecture, data modelling, and data governance. Drive innovation by evaluating and implementing new tools, technologies, and processes to improve data engineering efficiency and effectiveness. Ensure data governance, security, privacy, and compliance with regulatory requirements in all data engineering activities. Create comprehensive documentation for ETL processes, data schemas and ensure documentation is up-to-date and accessible to relevant stakeholders. Technical / Professional Qualifications / Requirements: Significant Microsoft Azure stack experience is a must: Data Lake, Data Factory, Synapse, Databricks, Power BI Extensive experience in data engineering and in a leadership or management position. Strong in delivering solutions, on time and within budget. Hands-on experience with Microsoft Azure services and Databricks for building and managing data solutions at scale. Proven track record of leading successful digital transformation initiatives involving data engineering and analytics. Strong background in data warehousing, data architecture, data modelling, integration, ETL/ELT processes Excellent leadership and communication skills with the ability to inspire and motivate teams. Experience working in Agile/Scrum environments Experience with DevOps practices and CI/CD pipelines Expert in SQL and good experience in Python Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred. Number of direct reports 5+ Geographic area of impact Global Size of budget N/a Key stakeholdersBusiness stakeholders, Analytics, Data Governance & Quality, Data Science, Data Ops
As a Staff Software Engineer within the Identity Engineering organisation, you will be responsible for: identifying, or introducing best practices within the organisation; setting technical, and architectural direction across the organisation; helping squads, and individuals execute on that direction; and providing subject matter expertise to help accelerate project delivery. You will do this in collaboration with your peers in the Identity Engineering architecture group, and by partnering with engineering and product leaders throughout the organisation. You will contribute to, and be part of an engaging, dynamic, and inclusive engineering organisation. You, and the engineering organisation you will be part of, will: advocate, and promote agile practices; encourage collaboration, and teamwork; provide expert guidance on object-oriented programming (OOP), functional programming (FP), and Continuous Integration and Deployment (CI/CD); and be committed to continuous learning and improvement. Identity Engineering delivers Consumer Identity and Access Management (CIAM) capabilities across The Walt Disney Company (TWDC) including but not limited to: Disney+, ESPN, Hulu, Parks, and Cruises. Identity Engineering squads build and run high-traffic and globally replicated systems which form an integral and visible part of every user's journey on Disney sites and applications. Responsibilities Discover, define, and refine best practices for the design, development, testing, deployment, and support of stateful microservices and lambdas in a multi-region cloud environment. Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by leading regular ceremonies such as stand-up, retrospectives and sprint planning. Provide guidance to engineering leaders and their teams to help them improve their technical ability and build their understanding of the products and platform that we are responsible for. Collaborate with Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical solutions and architectures. Technical Skills Experience with one of the following Java Virtual Machine (JVM) languages: Java, Scala, or Kotlin. Experience with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. Spark, Hive, or Presto. Desirable Skills Familiarity with the Scala programming language and popular frameworks such as: Cats, Cats Effect, ZIO, and http4s. Familiarity with both object oriented programming (OOP) and functional programming (FP) best practices. Familiarity with Amazon Web Services (AWS), Terraform, and infrastructure as code (IaC) best practices. Familiarity with Python programming language when applied to Spark and machine learning. Familiarity with Databricks and Apache Airflow products. Required Education & Experience Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. About Disney Streaming This position is with Disney Streaming Technology LLC, which is part of a business we call Disney Entertainment. Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world. About The Walt Disney Company The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. Equal opportunity The Walt Disney Company is an equal opportunity employer. Applicants will receive consideration for employment without regard to age, race, colour, religion or belief, sex, nationality, ethnic or national origin, sexual orientation, gender reassignment, marital or civil partner status, disability or pregnancy or maternity. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
May 13, 2024
Full time
As a Staff Software Engineer within the Identity Engineering organisation, you will be responsible for: identifying, or introducing best practices within the organisation; setting technical, and architectural direction across the organisation; helping squads, and individuals execute on that direction; and providing subject matter expertise to help accelerate project delivery. You will do this in collaboration with your peers in the Identity Engineering architecture group, and by partnering with engineering and product leaders throughout the organisation. You will contribute to, and be part of an engaging, dynamic, and inclusive engineering organisation. You, and the engineering organisation you will be part of, will: advocate, and promote agile practices; encourage collaboration, and teamwork; provide expert guidance on object-oriented programming (OOP), functional programming (FP), and Continuous Integration and Deployment (CI/CD); and be committed to continuous learning and improvement. Identity Engineering delivers Consumer Identity and Access Management (CIAM) capabilities across The Walt Disney Company (TWDC) including but not limited to: Disney+, ESPN, Hulu, Parks, and Cruises. Identity Engineering squads build and run high-traffic and globally replicated systems which form an integral and visible part of every user's journey on Disney sites and applications. Responsibilities Discover, define, and refine best practices for the design, development, testing, deployment, and support of stateful microservices and lambdas in a multi-region cloud environment. Promote and support Agile methodologies such as Scrum, Kanban, and Scrumban by leading regular ceremonies such as stand-up, retrospectives and sprint planning. Provide guidance to engineering leaders and their teams to help them improve their technical ability and build their understanding of the products and platform that we are responsible for. Collaborate with Product Managers, Designers, QA, Operations, and other stakeholders to understand requirements and articulate technical solutions and architectures. Technical Skills Experience with one of the following Java Virtual Machine (JVM) languages: Java, Scala, or Kotlin. Experience with at least one of the following cloud providers: Amazon Web Services (AWS), Google Cloud Compute (GCP), or Microsoft Azure. Spark, Hive, or Presto. Desirable Skills Familiarity with the Scala programming language and popular frameworks such as: Cats, Cats Effect, ZIO, and http4s. Familiarity with both object oriented programming (OOP) and functional programming (FP) best practices. Familiarity with Amazon Web Services (AWS), Terraform, and infrastructure as code (IaC) best practices. Familiarity with Python programming language when applied to Spark and machine learning. Familiarity with Databricks and Apache Airflow products. Required Education & Experience Bachelor's degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience. About Disney Streaming This position is with Disney Streaming Technology LLC, which is part of a business we call Disney Entertainment. Disney Streaming Technology LLC is an equal opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world. About The Walt Disney Company The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise with the following business segments: Disney Entertainment, ESPN, Disney Parks, and Experiences and Products. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney's stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished. Equal opportunity The Walt Disney Company is an equal opportunity employer. Applicants will receive consideration for employment without regard to age, race, colour, religion or belief, sex, nationality, ethnic or national origin, sexual orientation, gender reassignment, marital or civil partner status, disability or pregnancy or maternity. Disney fosters a business culture where ideas and decisions from all people help us grow, innovate, create the best stories and be relevant in a rapidly changing world.
Director Boutique Technology Consultancy Data Science & AI Unique opportunity within a consultancy focused on creating impact. Helping to shape and lead the Data Science and AI team. I am currently supporting an executive led, boutique consultancy in building out their Data Science and AI team. The company operates as an extension of C-level and Board, helping to drive critical digital and data change and transformation. Your peers will be former Chief Data Officers and Partners with extensive experience driving large scale data transformations. Successful candidates will be able to apply hands on skills in coding and modelling and be lead small teams of machine learning and AI experts. You will leverage data science to design high performing solutions that solve complex business problems. Extensive experience within Data Science, operating in a senior leadership position or able to liaise with key stakeholders. Work in a cross functional agile delivery team alongside big data engineers, data architects and more Delivering advanced data science solutions to enhance capability and generate insight across the different sectors and clients. Good educational background, ideally within a related field. Key words: Machine learning, data science, data scientists, data engineering, big data, chief data office, python, java, R, software development
May 13, 2024
Full time
Director Boutique Technology Consultancy Data Science & AI Unique opportunity within a consultancy focused on creating impact. Helping to shape and lead the Data Science and AI team. I am currently supporting an executive led, boutique consultancy in building out their Data Science and AI team. The company operates as an extension of C-level and Board, helping to drive critical digital and data change and transformation. Your peers will be former Chief Data Officers and Partners with extensive experience driving large scale data transformations. Successful candidates will be able to apply hands on skills in coding and modelling and be lead small teams of machine learning and AI experts. You will leverage data science to design high performing solutions that solve complex business problems. Extensive experience within Data Science, operating in a senior leadership position or able to liaise with key stakeholders. Work in a cross functional agile delivery team alongside big data engineers, data architects and more Delivering advanced data science solutions to enhance capability and generate insight across the different sectors and clients. Good educational background, ideally within a related field. Key words: Machine learning, data science, data scientists, data engineering, big data, chief data office, python, java, R, software development
Software Engineer - Representing an International Defence Business Location: Very Flexible, Hybrid + Excellent Benefits Salary: Up to £65,000 per annum Employment Type: Hybrid role About the Role: Here at Khuda Technology, we have partnered up with a global defence business to find a Software Engineer who will play a pivotal role in advancing cutting-edge technology solutions for global security. Key Responsibilities: Craft software architectures utilising UML and the Enterprise Architect tool. Execute software implementation and testing in C++, incorporating unit and continuous integration testing. Develop and optimise Sonar signal processing algorithms and AI algorithms. Exhibit pride in delivering high-quality, meticulously crafted code. Foster a culture of learning and feedback by conducting peer reviews of designs and code. Aid verification teams in integration, defect analysis, and resolution. Manage assigned stories and tasks in a product backlog via Azure DevOps, including estimating remaining work. Provide verbal progress reports and contribute to sprint planning and retrospectives. Desired Skills, Qualifications, and Experience: Proficiency in C++ development with expertise in multi-threaded design. Strong background in signal processing and/or AI/ML techniques. Familiarity with UML design techniques and the entire software development lifecycle. Exposure to machine learning is advantageous. Knowledge of Python and packaging tools/repositories like Conan and Nexus is beneficial. Eligibility for UK SC clearance. Personal Attributes: Sharp problem-solving skills with meticulous attention to detail. Exceptional communication and collaboration skills. Ability to thrive both independently and within a team environment. Proactive approach to learning and continuous improvement. If you're ready to represent an international defence business and contribute to global security efforts, we invite you to apply. Apply now and become part of our mission to create a safer world.
May 13, 2024
Full time
Software Engineer - Representing an International Defence Business Location: Very Flexible, Hybrid + Excellent Benefits Salary: Up to £65,000 per annum Employment Type: Hybrid role About the Role: Here at Khuda Technology, we have partnered up with a global defence business to find a Software Engineer who will play a pivotal role in advancing cutting-edge technology solutions for global security. Key Responsibilities: Craft software architectures utilising UML and the Enterprise Architect tool. Execute software implementation and testing in C++, incorporating unit and continuous integration testing. Develop and optimise Sonar signal processing algorithms and AI algorithms. Exhibit pride in delivering high-quality, meticulously crafted code. Foster a culture of learning and feedback by conducting peer reviews of designs and code. Aid verification teams in integration, defect analysis, and resolution. Manage assigned stories and tasks in a product backlog via Azure DevOps, including estimating remaining work. Provide verbal progress reports and contribute to sprint planning and retrospectives. Desired Skills, Qualifications, and Experience: Proficiency in C++ development with expertise in multi-threaded design. Strong background in signal processing and/or AI/ML techniques. Familiarity with UML design techniques and the entire software development lifecycle. Exposure to machine learning is advantageous. Knowledge of Python and packaging tools/repositories like Conan and Nexus is beneficial. Eligibility for UK SC clearance. Personal Attributes: Sharp problem-solving skills with meticulous attention to detail. Exceptional communication and collaboration skills. Ability to thrive both independently and within a team environment. Proactive approach to learning and continuous improvement. If you're ready to represent an international defence business and contribute to global security efforts, we invite you to apply. Apply now and become part of our mission to create a safer world.
Do you have a passion for data science, machine learning, and earth observation (EO)? Are you an expert in building robust and secure platforms for collaboration? Our Client (a world leader in environmental science) is seeking a skilled contractor to develop innovative platforms and infrastructure. These platforms will support research, development, and learning initiatives in data science, machine learning, and EO. The Opportunity: In this role, you'll play a pivotal role in: Understanding user needs: You'll collaborate with stakeholders to gather requirements for platforms and infrastructure that support data science projects and hackathons. Building shared environments: Develop secure and efficient shared software environments (e.g., Docker containers) to facilitate collaboration. Platform implementation: Lead the creation of trial platform implementations across various platforms, including cloud environments (AWS & Azure) and private Linux clusters. Testing and support: Actively participate in platform testing by supporting trial projects and events. Security focus: Implement appropriate security measures to protect valuable data and other assets. You'll be a great fit if you have: Solid infrastructure development skills: Experience in provisioning and setting up robust and reusable compute platforms, preferably using Infrastructure as Code (IaC) processes. System integration expertise: A strong understanding of system integration processes and the challenges associated with designing, building, and testing system interfaces. Technical know-how: Demonstrated awareness of relevant subject matter and a high-level understanding of data science, machine learning, and EO. Design thinking: The ability to translate business problems into effective technical designs. Communication skills: Excellent communication skills to bridge the gap between technical and non-technical stakeholders. Security awareness: A strong understanding of information security principles and the ability to implement appropriate security controls. Problem-solving prowess: The ability to investigate and resolve problems within systems, processes, and services. Bonus points for: Experience with Transatlantic Data Science Alliance (TDSA) or Earth Observation Information Partnership (EOIP) projects. Knowledge of setting up time-bound projects and hackathons with a focus on learning and development. Experience developing lessons learned from projects to inform long-term planning.
May 13, 2024
Contractor
Do you have a passion for data science, machine learning, and earth observation (EO)? Are you an expert in building robust and secure platforms for collaboration? Our Client (a world leader in environmental science) is seeking a skilled contractor to develop innovative platforms and infrastructure. These platforms will support research, development, and learning initiatives in data science, machine learning, and EO. The Opportunity: In this role, you'll play a pivotal role in: Understanding user needs: You'll collaborate with stakeholders to gather requirements for platforms and infrastructure that support data science projects and hackathons. Building shared environments: Develop secure and efficient shared software environments (e.g., Docker containers) to facilitate collaboration. Platform implementation: Lead the creation of trial platform implementations across various platforms, including cloud environments (AWS & Azure) and private Linux clusters. Testing and support: Actively participate in platform testing by supporting trial projects and events. Security focus: Implement appropriate security measures to protect valuable data and other assets. You'll be a great fit if you have: Solid infrastructure development skills: Experience in provisioning and setting up robust and reusable compute platforms, preferably using Infrastructure as Code (IaC) processes. System integration expertise: A strong understanding of system integration processes and the challenges associated with designing, building, and testing system interfaces. Technical know-how: Demonstrated awareness of relevant subject matter and a high-level understanding of data science, machine learning, and EO. Design thinking: The ability to translate business problems into effective technical designs. Communication skills: Excellent communication skills to bridge the gap between technical and non-technical stakeholders. Security awareness: A strong understanding of information security principles and the ability to implement appropriate security controls. Problem-solving prowess: The ability to investigate and resolve problems within systems, processes, and services. Bonus points for: Experience with Transatlantic Data Science Alliance (TDSA) or Earth Observation Information Partnership (EOIP) projects. Knowledge of setting up time-bound projects and hackathons with a focus on learning and development. Experience developing lessons learned from projects to inform long-term planning.
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact or call . Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
May 13, 2024
Full time
Software Development Team Lead Software Development Team Lead required by a leading global Cloud Technology company based in Bracknell. The company are working on cutting-edge technology including AI and propensity modelling. The Software Development Team Lead will be responsible for the software engineering output of the team. This will be a leadership role however the successful Software Development Team Lead will also be expected to be hands-on writing code when required, as well as designing architecture. Therefore the successful candidate will have strong hands-on coding knowledge. The company are happy to consider a Senior/Lead Developer who is looking to step up into more of a leadership role. They operate on a hybrid model which involves 3 days in the office and 2 days from home. Essential experience: Degree in STEM subject from a Russell Group or Red Brick University Experience leading software development teams Knowledge of either C# or React Strong experience with SQL Source control, ideally Git Agile Any experience in the following would be advantageous: Latest versions of .NET AI, Machine Learning JavaScript, TypeScript and associated frameworks Containers, Docker, Kubernetes NoSQL Test tools such as xUnit, Cypress, Selenium, Jest, SoapUI This is an exciting opportunity to join a rapidly expanding company using the latest tools and technologies. If you are looking for a role of this nature, please contact or call . Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy. JBRP1_UKTJ
JOB AD: We are currently looking for a Research Scientist - Natural Language Processing (NLP) to join a London Research Center. In this role, you will have the chance to work on projects that impacting millions of people by analyzing and understanding textual content through innovating and applying advanced NLP, machine learning and deep learning technologies. Key Responsibilities: Carry out state-of-the-art (SOTA) NLP research, such as knowledge graph, key information extraction at different granular levels from texts, textual content understanding and text generation etc. Apply SOTA NLP techniques to practical scenarios such as search and recommendation, while preserving user privacy Literature review and investigate the SOTA NLP technologies regarding specific projects Dataset acquisition Build models with novelty, applicability, and practicality in mind. Model evaluation and iteration Navigate ambiguity that might occur in the projects or relationship with stakeholders Building a demonstration system to showcase the value of strength Write documentation, research papers, or patent application (whichever applicable) Position Requirements: PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) Publication track records in top tier Computing/NLP/AI/ML conferences or journals Passionate about data and machine learning Programming experience in Python, R, C, or C++ Software engineering background, e.g., you have a Computer Science background, or software engineering working experience Able to work independently and as a team, and drive a project from its inception to the finish line on time Preferred: NLP background with deep learning modelling and library use (e.g. Pytorch, Tensorflow) experience Publications at top-tier conferences such as ACL/EMNLP/NAACL/AAAI/ICLR etc. and journals such as TACL/CL etc.
May 13, 2024
Full time
JOB AD: We are currently looking for a Research Scientist - Natural Language Processing (NLP) to join a London Research Center. In this role, you will have the chance to work on projects that impacting millions of people by analyzing and understanding textual content through innovating and applying advanced NLP, machine learning and deep learning technologies. Key Responsibilities: Carry out state-of-the-art (SOTA) NLP research, such as knowledge graph, key information extraction at different granular levels from texts, textual content understanding and text generation etc. Apply SOTA NLP techniques to practical scenarios such as search and recommendation, while preserving user privacy Literature review and investigate the SOTA NLP technologies regarding specific projects Dataset acquisition Build models with novelty, applicability, and practicality in mind. Model evaluation and iteration Navigate ambiguity that might occur in the projects or relationship with stakeholders Building a demonstration system to showcase the value of strength Write documentation, research papers, or patent application (whichever applicable) Position Requirements: PhD or equivalent Master's Degree plus 4+ years in computing-related fields (such as Computer Science, Engineering, Mathematics, Physics) Publication track records in top tier Computing/NLP/AI/ML conferences or journals Passionate about data and machine learning Programming experience in Python, R, C, or C++ Software engineering background, e.g., you have a Computer Science background, or software engineering working experience Able to work independently and as a team, and drive a project from its inception to the finish line on time Preferred: NLP background with deep learning modelling and library use (e.g. Pytorch, Tensorflow) experience Publications at top-tier conferences such as ACL/EMNLP/NAACL/AAAI/ICLR etc. and journals such as TACL/CL etc.
Salary 45,000 - 50,000 GBP per year Requirements: - Experience, Skills and Mindset - essentials: • Demonstrable experience as a junior or mid-level developer, with time spent working on front-end software development • Demonstrable experience of working with agile project methodologies, and test-driven development • Web development experience • Experience with React and Typescript • Ability to produce rapid prototypes, with a flexible approach towards the choice of appropriate technology, and a willingness to pick up the right tool for the job • Excited to learn about new technologies as needed • A BSc, or MSc in computer science, engineering, or related discipline; or several years relevant experience in academia or industry demonstrated by a portfolio of projects • Excellent time management - able to work on tasks across multiple projects • Willing and able to explain complex concepts to less technically experienced members of the team • Unafraid to report and help to manage issues as they arise • Comfortable giving and receiving kind, constructive feedback • A collaborative person with a curious and open mindset, a willingness to learn from and with others, and ability to carry out self-directed research and learning • A motivation to tackle social problems, and a personal commitment to the principles of data justice and community empowerment • A supportive colleague Responsibilities: - We are recruiting for Front-end Developer (mid-level) with the CCID Team Overview Nesta's Centre for Collective Intelligence Design helps create new ways for communities to use technology to harness their insights, ideas and power to act on the problems that matter to them and create the futures they want. Our mission is to design digital tools and products that allow communities to respond collectively to challenges, and that help public and voluntary sector institutions strengthen trust and collaboration with citizens. Potential CI products could range from a mobile app, to a game, or online platform. We work with Nesta's mission teams and external partners to help them understand where and how collective intelligence approaches can help address the problems they're working on. We apply collective intelligence design - which brings together insights from diverse groups of people, with new sources of data (such as sensor or mobile phone data) and digital technologies (including AI) - to develop bespoke solutions to those problems. We use rigorous research methods to test, learn and evaluate each solution. We are a welcoming team in an equal-opportunities organisation, and aim to keep our working environment free from discrimination, harassment or any forms of bullying. The role Nesta is looking for a front-end developer/software engineer to join a small team as we build prototypes / MVPs / and production-ready collective intelligence solutions. As a mid-level developer you will work directly with the team's senior developer, and collaboratively with the team's product designers, researchers, and managers to rapidly prototype, build and adapt tech solutions for complex social and environmental problems across a variety of projects. This is a chance to use your skills for social good, and make a positive impact on the world. We're looking for someone who is confident working on front-end development, conversant in backend technologies, and has hands-on experience of agile development processes such as Scrum, and Kanban . This role will suit you if you enjoy getting your hands dirty writing code, and seeing your work put to good use. You will ideally have demonstrable experience working as a junior and/or mid-level developer, and feel ready for a new challenge. A curiosity about how to harness the power of collective intelligence for social good through new products and technologies is also desirable. Tech stacks Our current front-end applications are built in React with Typescript. The data scientists we work with primarily use Python, and we occasionally support their work too. Our production backends are templated using AWS SAM and deployed to AWS as CloudFormation stacks, with lambda functions implemented in either C# or Typescript. In the future we may build our backends with alternative technologies, depending on the requirements of the application. We aim to select the most appropriate tools for each new piece of work - assessing the various choices that would allow us to prototype quickly, or develop robust production services as required. You will be a part of that conversation, helping to investigate tools, languages, libraries, and existing technologies to determine if they meet our needs. A flexible mindset will help with this, alongside a willingness to learn and use appropriate technologies for each task. You will be responsible for: • Collaboratively planning development work for internal and partner-led projects • Assessing specifications and breaking them down into development epics and development tasks • Developing high quality, clear, reusable code in a team environment, through a number of methods: o Technical design exercises o Collaborative task planning o Collaborative task estimations o Peer code reviews o Individual development tasks o Pair programming tasks o Writing automated tests o Supporting manual testing exercises o Regular retrospectives • Documentation of the technical aspects of project work as you go • Developing rapid prototypes to help test a new concept • Assessing existing technologies against project requirements • Adapting existing technologies where appropriate • Working collaboratively with Nesta's product designers, researchers, data scientists data engineers, and freelance developers where necessary • Contributing to the planning of consultancy engagements and activities • Connecting into wider networks of collective intelligence technologists and practitioners to keep your finger on the pulse of new applications, methodological advances and identify opportunities for our own experimentation • Contributing to the overall direction, and delivery of projects within the Centre for Collective Intelligence Design • Assisting and contributing to "all-team" business development activities - helping to win work, and shape the technical components of our proposals, specifications, and new work Technologies: - API - AWS - Azure - Backend - C# - Cloud - Docker - GCP - Support - Kanban - LESS - Machine Learning - Mobile - Python - React - Serverless - TypeScript - Web More: c. £48k pa + benefits This is a full-time role but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Blackfriars, London - Hybrid Working What we offer Salary: circa £48,000 plus array of benefits, including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more . Location: This role is based in London, Blackfriars, hybrid working arrangement with a minimum of two days in the office Term: Permanent Hours: This is a full-time role but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do. Making an application To apply for this role, please submit your application before 08.00am on the 28th May 2024. Interviews will take place w/c 3rd June 2024. At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results. We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop. This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful. We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part-time hours, job shares and other arrangements. Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you'd like to explore.
May 13, 2024
Full time
Salary 45,000 - 50,000 GBP per year Requirements: - Experience, Skills and Mindset - essentials: • Demonstrable experience as a junior or mid-level developer, with time spent working on front-end software development • Demonstrable experience of working with agile project methodologies, and test-driven development • Web development experience • Experience with React and Typescript • Ability to produce rapid prototypes, with a flexible approach towards the choice of appropriate technology, and a willingness to pick up the right tool for the job • Excited to learn about new technologies as needed • A BSc, or MSc in computer science, engineering, or related discipline; or several years relevant experience in academia or industry demonstrated by a portfolio of projects • Excellent time management - able to work on tasks across multiple projects • Willing and able to explain complex concepts to less technically experienced members of the team • Unafraid to report and help to manage issues as they arise • Comfortable giving and receiving kind, constructive feedback • A collaborative person with a curious and open mindset, a willingness to learn from and with others, and ability to carry out self-directed research and learning • A motivation to tackle social problems, and a personal commitment to the principles of data justice and community empowerment • A supportive colleague Responsibilities: - We are recruiting for Front-end Developer (mid-level) with the CCID Team Overview Nesta's Centre for Collective Intelligence Design helps create new ways for communities to use technology to harness their insights, ideas and power to act on the problems that matter to them and create the futures they want. Our mission is to design digital tools and products that allow communities to respond collectively to challenges, and that help public and voluntary sector institutions strengthen trust and collaboration with citizens. Potential CI products could range from a mobile app, to a game, or online platform. We work with Nesta's mission teams and external partners to help them understand where and how collective intelligence approaches can help address the problems they're working on. We apply collective intelligence design - which brings together insights from diverse groups of people, with new sources of data (such as sensor or mobile phone data) and digital technologies (including AI) - to develop bespoke solutions to those problems. We use rigorous research methods to test, learn and evaluate each solution. We are a welcoming team in an equal-opportunities organisation, and aim to keep our working environment free from discrimination, harassment or any forms of bullying. The role Nesta is looking for a front-end developer/software engineer to join a small team as we build prototypes / MVPs / and production-ready collective intelligence solutions. As a mid-level developer you will work directly with the team's senior developer, and collaboratively with the team's product designers, researchers, and managers to rapidly prototype, build and adapt tech solutions for complex social and environmental problems across a variety of projects. This is a chance to use your skills for social good, and make a positive impact on the world. We're looking for someone who is confident working on front-end development, conversant in backend technologies, and has hands-on experience of agile development processes such as Scrum, and Kanban . This role will suit you if you enjoy getting your hands dirty writing code, and seeing your work put to good use. You will ideally have demonstrable experience working as a junior and/or mid-level developer, and feel ready for a new challenge. A curiosity about how to harness the power of collective intelligence for social good through new products and technologies is also desirable. Tech stacks Our current front-end applications are built in React with Typescript. The data scientists we work with primarily use Python, and we occasionally support their work too. Our production backends are templated using AWS SAM and deployed to AWS as CloudFormation stacks, with lambda functions implemented in either C# or Typescript. In the future we may build our backends with alternative technologies, depending on the requirements of the application. We aim to select the most appropriate tools for each new piece of work - assessing the various choices that would allow us to prototype quickly, or develop robust production services as required. You will be a part of that conversation, helping to investigate tools, languages, libraries, and existing technologies to determine if they meet our needs. A flexible mindset will help with this, alongside a willingness to learn and use appropriate technologies for each task. You will be responsible for: • Collaboratively planning development work for internal and partner-led projects • Assessing specifications and breaking them down into development epics and development tasks • Developing high quality, clear, reusable code in a team environment, through a number of methods: o Technical design exercises o Collaborative task planning o Collaborative task estimations o Peer code reviews o Individual development tasks o Pair programming tasks o Writing automated tests o Supporting manual testing exercises o Regular retrospectives • Documentation of the technical aspects of project work as you go • Developing rapid prototypes to help test a new concept • Assessing existing technologies against project requirements • Adapting existing technologies where appropriate • Working collaboratively with Nesta's product designers, researchers, data scientists data engineers, and freelance developers where necessary • Contributing to the planning of consultancy engagements and activities • Connecting into wider networks of collective intelligence technologists and practitioners to keep your finger on the pulse of new applications, methodological advances and identify opportunities for our own experimentation • Contributing to the overall direction, and delivery of projects within the Centre for Collective Intelligence Design • Assisting and contributing to "all-team" business development activities - helping to win work, and shape the technical components of our proposals, specifications, and new work Technologies: - API - AWS - Azure - Backend - C# - Cloud - Docker - GCP - Support - Kanban - LESS - Machine Learning - Mobile - Python - React - Serverless - TypeScript - Web More: c. £48k pa + benefits This is a full-time role but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Blackfriars, London - Hybrid Working What we offer Salary: circa £48,000 plus array of benefits, including private medical insurance, dental insurance, the ability to buy and sell annual leave, eyecare vouchers and more . Location: This role is based in London, Blackfriars, hybrid working arrangement with a minimum of two days in the office Term: Permanent Hours: This is a full-time role but we offer a range of flexible working arrangements and encourage our people to take advantage of them. Many do. Making an application To apply for this role, please submit your application before 08.00am on the 28th May 2024. Interviews will take place w/c 3rd June 2024. At Nesta, we believe that a diverse workforce leads to an organisation that is more innovative, more creative and gets better results. We want our workforce to represent the diversity of the people and communities we serve. We also want our workplace to be one where different experiences, expertise and perspectives are valued, and where everyone is encouraged to grow and develop. This means that when we are recruiting, we actively seek to reach a diverse pool of candidates. It also means that we are happy to consider any reasonable adjustments that potential employees may need to in order to be successful. We recognise the importance of a good balance between work and home life, so we do everything we can to accommodate flexible working, including working from home, compressed or part-time hours, job shares and other arrangements. Please just let us know in your application or at any stage throughout the process (and beyond) if these are options you'd like to explore.
Site Name: London The Stanley Building Posted Date: Mar 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: Significant technical product management experience 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 andstrong 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 8th April 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 Us? 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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. 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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details
May 13, 2024
Full time
Site Name: London The Stanley Building Posted Date: Mar 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: Significant technical product management experience 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 andstrong 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 8th April 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 Us? 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 organization where people can thrive. Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030. 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 workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy. We're committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce. As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles . click apply for full job details