We are looking for a Lead Software Engineer to drive technical project delivery, guiding teams from concept to deployment while ensuring high-quality, scalable solutions.If you enjoy seeing your work deployed into 'real-life' applications, this is the perfect role for you. Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. 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 engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, testing, and evaluation of complex software engineering solutions for the successful delivery of multiple client projects Build strong client relationships and lead project-centred client interaction Manage and mentor engineering project teams Encourage innovation and continuous improvement Collaborate with stakeholders to understand business needs and develop technical strategies Build processes for extracting, cleaning and transforming data (SQL / Python) Oversee the delivery of high-quality code and successful project outcomes Line manage and provide career mentorship to other software engineers REQUIRED SKILLS: Degree in a quantitative field such as engineering, mathematics, finance Experience of leading meetings and presenting technical concepts to stakeholders Experience of successfully leading complex software projects Experience of mentoring and managing software teams Experience of leading the design, development, testing, and deployment of software solutions Experience of leading code reviews in Python and SQL through Git, and applying other best practices to technical projects Experience of developing data engineering pipelines, backend services and APIs Experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development Extensive knowledge of software engineering concepts and principles with a deep understanding of emerging technologies and industry trends Deep expertise of at least one programming language Deep understanding of cloud deployment (e.g. AWS, Azure) Linux scripting (e.g. bash) Deep understanding of data analysis methodologies and best practices A holistic understanding of the software development process, from design through to deployment, and associated project management and risks Advanced Docker with deep understanding of Docker storage and Volumes, linux permissions Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion Excellent communication skills through written reports and presentations Ability to review others' code Ability to support bid and proposal writing Ability to effectively line manage and mentor INTERVIEW PROCESS: Stage 1: 20 min video call with the Hiring Manager Stage 2: Task/Case Study Stage 3: 90 min F2F interview in our London office OUR COMMITTMENT TO DEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at
Jul 04, 2025
Full time
We are looking for a Lead Software Engineer to drive technical project delivery, guiding teams from concept to deployment while ensuring high-quality, scalable solutions.If you enjoy seeing your work deployed into 'real-life' applications, this is the perfect role for you. Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. 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 engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, testing, and evaluation of complex software engineering solutions for the successful delivery of multiple client projects Build strong client relationships and lead project-centred client interaction Manage and mentor engineering project teams Encourage innovation and continuous improvement Collaborate with stakeholders to understand business needs and develop technical strategies Build processes for extracting, cleaning and transforming data (SQL / Python) Oversee the delivery of high-quality code and successful project outcomes Line manage and provide career mentorship to other software engineers REQUIRED SKILLS: Degree in a quantitative field such as engineering, mathematics, finance Experience of leading meetings and presenting technical concepts to stakeholders Experience of successfully leading complex software projects Experience of mentoring and managing software teams Experience of leading the design, development, testing, and deployment of software solutions Experience of leading code reviews in Python and SQL through Git, and applying other best practices to technical projects Experience of developing data engineering pipelines, backend services and APIs Experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development Extensive knowledge of software engineering concepts and principles with a deep understanding of emerging technologies and industry trends Deep expertise of at least one programming language Deep understanding of cloud deployment (e.g. AWS, Azure) Linux scripting (e.g. bash) Deep understanding of data analysis methodologies and best practices A holistic understanding of the software development process, from design through to deployment, and associated project management and risks Advanced Docker with deep understanding of Docker storage and Volumes, linux permissions Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion Excellent communication skills through written reports and presentations Ability to review others' code Ability to support bid and proposal writing Ability to effectively line manage and mentor INTERVIEW PROCESS: Stage 1: 20 min video call with the Hiring Manager Stage 2: Task/Case Study Stage 3: 90 min F2F interview in our London office OUR COMMITTMENT TO DEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at
We are looking for a Senior Data Scientist who enjoys seeing their work used as part of 'real-life' solutions. 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. 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 cooperative, can-do attitude who can build high-quality data science solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL / Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and predictions in live dashboards using Tableau / PowerBI Lead the presentation of findings to clients through written documentation, calls, and presentations Actively seek out new opportunities to learn and develop Be an example of data science best-practice (e.g., Git / Docker / cloud deployment) Contribute to proposals for exciting new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g., reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and machine learning (e.g., sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g., planning, time management) Strong problem-solving and analytical skills High attention to detail Ability to work independently and as part of a team INTERVIEW PROCESS: Stage 1: 20 min video call with the Hiring Manager Stage 2: 90 min F2F interview including technical exercise, in our London office OUR COMMITMENT TO DEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at
Jul 04, 2025
Full time
We are looking for a Senior Data Scientist who enjoys seeing their work used as part of 'real-life' solutions. 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. 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 cooperative, can-do attitude who can build high-quality data science solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Actively contribute to the design, development, testing, and evaluation of data science solutions Train and deploy state-of-the-art machine learning and reinforcement learning models Build AI systems using Large Language Models Build processes for extracting, cleaning and transforming data (SQL / Python) Ad-hoc data mining for insights using Python + Jupyter notebooks Present insights and predictions in live dashboards using Tableau / PowerBI Lead the presentation of findings to clients through written documentation, calls, and presentations Actively seek out new opportunities to learn and develop Be an example of data science best-practice (e.g., Git / Docker / cloud deployment) Contribute to proposals for exciting new data science opportunities Provide direction and mentoring to more junior data scientists REQUIRED SKILLS: Degree in a quantitative field such as mathematics, statistics or data science (PhD in physics highly desirable) Experience of presenting technical concepts to stakeholders Experience of proactively contributing to the design, development, testing, and deployment of data science and AI solutions Experience and understanding of applied machine learning techniques in Python (e.g., xgboost, regression, decision trees) Experience with physics modelling highly desirable Practical knowledge and experience of developing AI solutions using advanced machine learning techniques (e.g., reinforcement learning, deep learning) Experience of working collaboratively as part of a data science team, using tools like Git to adhere to established data science and AI best practices Experience of using different analysis techniques to draw insight from data, using tools such as Python and SQL Excellent Python skills, including relevant libraries for data analysis and machine learning (e.g., sklearn, Pandas, NumPy) and at least one deep learning framework Excellent communication skills through written reports and presentations Organisational skills (e.g., planning, time management) Strong problem-solving and analytical skills High attention to detail Ability to work independently and as part of a team INTERVIEW PROCESS: Stage 1: 20 min video call with the Hiring Manager Stage 2: 90 min F2F interview including technical exercise, in our London office OUR COMMITMENT TO DEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at
We are looking for a Senior Software Engineer to lead the design, development, and implementation of machine learning models, build scalable applications, and optimise workflows.Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability Build processes for extracting, cleaning and transforming data (SQL / Python) Optimize model parameters and architectures for maximum efficiency and accuracy Ensure seamless integration of AI solutions with existing systems and applications Stay updated with the latest advancements in AI and machine learning Present findings to clients through written documentation, calls and presentations Be an example of software engineering best-practice e.g. Git / Docker / cloud deployment Contribute to proposals for exciting new data science opportunities Provide direction and mentoring to more junior software engineers REQUIRED SKILLS: Degree in a quantitative field such as engineering, mathematics, finance Proven experience of successfully delivering complex software projects Proven experience of delivering design, development, testing, and deployment of software solutions and holistic understanding of the software development process, from design through to deployment, and associated project management and risks Proven experience of code reviews in Python and SQL through Git, and applying other best practices to technical projects Proven experience of developing data engineering pipelines, backend services and APIs Proven experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development Extensive knowledge of software engineering concepts and principles with a deep understanding of emerging technologies and industry trends Deep expertise of at least one programming language Deep understanding of cloud deployment (e.g. AWS, Azure) Linux scripting (e.g. bash) A holistic understanding of the software development process, from design through to deployment, and associated project management and risks Advanced Docker with deep understanding of Docker storage and Volumes, linux permissions Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion Excellent communication skills through written reports and presentations Ability to review others' code Ability to effectively line manage and mentor INTERVIEW PROCESS: Stage 1: 20 min video call with the Hiring Manager Stage 2: Task/Case Study Stage 3: 90 min F2F interview in our London office OUR COMMITTMENT TO DEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at
Jul 04, 2025
Full time
We are looking for a Senior Software Engineer to lead the design, development, and implementation of machine learning models, build scalable applications, and optimise workflows.Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, and implementation of complex AI models and algorithms Define data collection, cleaning, and pre-processing strategies Architect and maintain robust data pipelines and data management systems Lead the training of machine learning models, ensuring high performance and scalability Build processes for extracting, cleaning and transforming data (SQL / Python) Optimize model parameters and architectures for maximum efficiency and accuracy Ensure seamless integration of AI solutions with existing systems and applications Stay updated with the latest advancements in AI and machine learning Present findings to clients through written documentation, calls and presentations Be an example of software engineering best-practice e.g. Git / Docker / cloud deployment Contribute to proposals for exciting new data science opportunities Provide direction and mentoring to more junior software engineers REQUIRED SKILLS: Degree in a quantitative field such as engineering, mathematics, finance Proven experience of successfully delivering complex software projects Proven experience of delivering design, development, testing, and deployment of software solutions and holistic understanding of the software development process, from design through to deployment, and associated project management and risks Proven experience of code reviews in Python and SQL through Git, and applying other best practices to technical projects Proven experience of developing data engineering pipelines, backend services and APIs Proven experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development Extensive knowledge of software engineering concepts and principles with a deep understanding of emerging technologies and industry trends Deep expertise of at least one programming language Deep understanding of cloud deployment (e.g. AWS, Azure) Linux scripting (e.g. bash) A holistic understanding of the software development process, from design through to deployment, and associated project management and risks Advanced Docker with deep understanding of Docker storage and Volumes, linux permissions Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion Excellent communication skills through written reports and presentations Ability to review others' code Ability to effectively line manage and mentor INTERVIEW PROCESS: Stage 1: 20 min video call with the Hiring Manager Stage 2: Task/Case Study Stage 3: 90 min F2F interview in our London office OUR COMMITTMENT TO DEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at